Publications

Publications are the staple of any good research group. The publications listed here are organized in a categorized outline which explore the far-reaching world of ACT-R.

Each topic has several papers associated with it, and the full text of many of the papers are available. The entire set of references can be found at the end of this page.

Topics

References

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Altmann, E. M. (2000). Memory in chains: A dual-code associative model of positional uncertainty. In N. Taatgen & J. Aasman (Eds.), Proceedings of the third international conference on cognitive modeling (pp. 9-16). Veenendaal, The Netherlands: Universal Press (unipress@worldonlin.nl). [] [info]

Altmann, E. M. (2000). Memory in chains: Modeling primacy and recency effects in memory for order. In Proceedings of the twenty second annual conference of the Cognitive Science Society (pp. 31-36). [] [info]

Altmann, E. M. (2002). Functional decay of memory for tasks. Psychological Research, 66, 287-297. [] [info]

Altmann, E. M. & Burns, B . D. (2004). Streak biases in decision making: Data and a memory model. In Proceedings of the sixth International Conference on Cognitive Modeling (pp.34-39). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Altmann, E. M. & Burns, B. D. (2005). Streak biases in decision making: data and a memory model. Cognitive Systems Research, 6, 5-16. [] [info]

Altmann, E. M. & Davidson, D. J. (2001). An integrative approach to Stroop: Combining a language model and a unified cognitive theory. In Proceedings of the 23rd annual meeting of the Cognitive Science Society. [] [info]

Altmann, E. M. & Gray, W. D. (1998). Pervasive episodic memory: Evidence from a control-of-attention paradigm. In M. A. Gernsbacher & S. J. Derry (Eds.), Proceedings of the twentieth annual conference of the Cognitive Science Society (pp. 42-47). Hillsdale, NJ: Erlbaum. [] [info]

Altmann, E. M. & Gray, W. D. (1999). Serial attention as strategic memory. In Proceedings of the twenty-first annual conference of the Cognitive Science Society (pp. 25-30). Hillsdale, NJ: Erlbaum. [] [info]

Altmann, E. M. & Gray, W. D. (2000). An integrated model of set shifting and maintenance. In N. Taatgen & J. Aasman (Eds.), In Proceedings of the third international conference on cognitive modeling (pp. 17-24). Veenendaal, The Netherlands: Universal Press. (unipress@worldonlin.nl). [] [info]

Altmann, E. M. & Gray, W. D. (2002). Forgetting to remember: The functional relationship of decay and interference. Psychological Science, 13(1), 27-33. [] [info]

Altmann, E. M., & Gray, W. D. (2008). An integrated model of cognitive control in task switching. Psychological Review, 115, 602-639. [] [info]

Altmann, E. M. & Schunn, C. D. (2002). Integrating decay and interference: A new look at an old interaction. To appear in Proceedings of the 24th annual conference of the Cognitive Science Society. [] [info]

Altmann, E. M. & Trafton, J. G. (1999). Memory for goals: An architectural perspective. In Proceedings of the twenty-first annual conference of the Cognitive Science Society (pp. 19-24). Hillsdale, NJ: Erlbaum. [] [info]

Altmann, E. M. & Trafton, J. G. (2002). Memory for goals: An activation-based model. Cognitive Science, 26, 39-83. [] [info]

Altmann, E. M., & Trafton, J. G. (2007). Timecourse of recovery from task interruption: Data and a model. Psychonomic Bulletin & Review, 14, 1079-1084. [] [info]

Anderson, J. R. (1972) FRAN: A simulation model of free recall. In G. H. Bower, (Ed.) The Psychology of Learning and Motivation, Vol. 5. New York: Academic Press. [] [info]

Anderson, J. R. (1974). Language acquisition by computer and child. Technical Report No. 55, Human Performance Center. [] [info]

Anderson, J. R. (1974). Retrieval of propositional information from long-term memory. Cognitive Psychology, 5, 451-474. [] [info]

Anderson, J. R. (1974). Verbatim and propositional representation of sentences in immediate and long-term memory. Journal of Verbal Learning and Verbal Behavior, 13, 149-162. [] [info]

Anderson, J. R. (1975). Computer simulation of a language-acquisition system. In R.L. Solso (Ed.), Information Processing and Cognition: The Loyola Symposium, 295-349. Hillsdale, NJ: Lawrence Erlbaum. [] [info]

Anderson, J. R. (1975). Configural properties in sentence memory: A Re-examination. Paper presented at the meeting of the Psychonomics Society. [info]

Anderson, J. R. (1975). Item-specific and relation-specific interference in sentence memory. Journal of Experimental Psychology: Human Learning and Memory, 104, 249-260. [] [info]

Anderson, J. R. (1975). Review of W. Kintsch, The Representation of Meaning in memory. American Journal of Psychology, 88, 524-532. [] [info]

Anderson, J. R. (1976). Language, memory, and thought. Hillsdale, NJ: Erlbaum. [info]

Anderson, J. R. (1977). Induction of Augmented Transition Networks. Cognitive Science, 1, 125-157. [] [info]

Anderson, J. R. (1977). Memory for information about individuals. Memory and Cognition, 5, 430-442. [] [info]

Anderson, J. R. (1978). Arguments concerning representations for mental imagery. Psychological Review, 85, 249-277. [] [info]

Anderson, J. R. (1978). Computer simulation of language acquisition: A second report. In D. LaBerge and S. J. Samuels (Eds.), Perception and Comprehension. Hillsdale, NJ: Erlbaum, 1978. [] [info]

Anderson, J. R. (1978). Representation of individuals in semantic nets. In Proceedings of TINLAP, 51-56. [] [info]

Anderson, J. R. (1979). Further arguments concerning representations for mental imagery: A response to Hayes-Roth and Pylyshyn. Psychological Review, 86, 395-406. [] [info]

Anderson, J. R. (1980). Cognitive psychology and its implications. San Francisco: Freeman. [info]

Anderson, J. R. (1981). A theory of language acquisition based on general learning principles. In Proceedings of IJCAI-81, 165-170. [] [info]

Anderson, J. R. (1981). Concepts, propositions, and schemata: What are the cognitive units? In J. Flowers (Ed.), Nebraska Symposium on Motivation. Lincoln, Nebraska: University of Nebraska Press. [] [info]

Anderson, J. R. (1981). Effects of prior knowledge on memory for new information. Memory and Cognition, 9, 237-246. [] [info]

Anderson, J. R. (1981). Interference: The relationship between response latency and response accuracy. Journal of Experimental Psychology: Human Learning and Memory, 7, 326-343. [] [info]

Anderson, J. R. (1981). Memory for logical quantifiers. Journal of Verbal Learning and Verbal Behavior, 20, 306-321. [] [info]

Anderson, J. R. (1981). Tuning of search of the problem space for geometry proofs. In Proceedings of IJCAI-81, 97-103. [] [info]

Anderson, J. R. (1982). Acquisition of cognitive skill. Psychological Review, 89, 369-403. [] [info]

Anderson, J. R. (1983). A general learning theory and its application to the acquisition of proof skills in geometry. In R. Michalski, J. Carbonell, and T. Mitchell (Eds.), Machine Learning: An Artificial Intelligence Approach. Palo Alto, CA: Tioga Publishing. [] [info]

Anderson, J. R. (1983). A spreading activation theory of memory. Journal of Verbal Learning and Verbal Behavior, 22, 261-295. [] [info]

Anderson, J. R. (1983). The Architecture of Cognition. Cambridge, MA: Harvard University Press. [info]

Anderson, J. R. (1983). Knowledge compilation: The general learning mechanisms. In Proceedings of the 1983 Machine Learning Workshop, 203-212. [] [info]

Anderson, J. R. (1983). Learning to program. In Proceedings of International Joint Conference on Artifical Intelligence, 57-62. [] [info]

Anderson, J. R. (1983). Retrieval of information from long-term memory. Science, 220, 25-30. [] [info]

Anderson, J. R. (1984). Cognitive psychology and intelligent tutoring. In Proceedings of the Sixth Annual Cognitive Science Meetings, 37-43. [] [info]

Anderson, J. R. (1984). Spreading activation. In J. R. Anderson & S. M. Kosslyn (Eds.), Essays on Learning and Memory. San Francisco, CA: Freeman. [] [info]

Anderson, J. R. (1985). Cognitive Psychology and its Implications (2nd Ed.). New York: Freeman. [info]

Anderson, J. R. (1986). Knowledge compilation: The general learning mechanism. In R. Michalski, J. Carbonell, & T. Mitchell (Eds.), Machine learning II. Los Altos, CA: Morgan Kaufmann. [] [info]

Anderson, J. R. (1987). Causal analysis and inductive learning. In Proceedings of the Fourth International Workshop on Machine Learning. University of California, Irvine, June 22-25, 1987. [] [info]

Anderson, J. R. (1987). Methodologies for the study of human knowledge. The Behavioral and Brain Sciences, 10, 467-505. [] [info]

Anderson, J. R. (1987). Production systems, learning, and tutoring. In D. Klahr, P. Langley, & R. Neches (Eds.), Self-Modifying Production Systems: Models of Learning and Development. Bradford Books/MIT, Cambridge, MA. [] [info]

Anderson, J. R. (1987). Skill acquisition: Compilation of weak-method problem solutions. Psychological Review, 94, 192-210. [] [info]

Anderson, J. R. (1988). The expert module. In M. Polson & J. Richardson (Eds.), Handbook of Intelligent Training Systems. Hillsdale, NJ: Erlbaum, 21-53. [] [info]

Anderson, J. R. (1988). The place of cognitive architectures in a rational analysis. Cognitive Science Meetings, 1-10. [] [info]

Anderson, J. R. (1989). A rational analysis of human memory. In H. L. Roediger, III and F. I. M. Craik (Eds.) Varieties of Memory and Consciousness: Essays in Honor of Endel Tulving. Hillsdale, NJ: Erlbaum, 195-210. [] [info]

Anderson, J. R. (1989). A theory of human knowledge. Artificial Intelligence, 40, 313-351. [] [info]

Anderson, J. R. (1989). Human Memory: An Adaptive Perspective. Psychological Review, 96, 703-719. [] [info]

Anderson, J. R. (1989). Practice, working memory, and the ACT* theory of skill acquisition: A Comment on Carlson, Sullivan, and Schneider. Journal of Experimental Psychology: Learning, Memory, and Cognition, 15, 527-530. [] [info]

Anderson, J. R. (1989). The analogical origins of errors in problem solving. In D. Klahr & K. Kotovsky (Eds.), 21st Carnegie Symposium on Cognition, 343-371. [] [info]

Anderson, J. R. (1990). Analysis of student performance with the LISP tutor. In N. Fredericksen, R. Glaser, A. Lesgold, & M. Shaffo (Eds.), Diagnostic Monitoring of Skill and Knowledge Acquisition. Hillsdale, NJ: Erlbaum, 27-50. [] [info]

Anderson, J. R. (1990). Cognitive Psychology and its Implications: Third Edition. New York: Freeman. [info]

Anderson, J. R. (1990). The Adaptive Character of Thought. Hillsdale, NJ: Erlbaum. [info]

Anderson, J. R. (1991). Is human cognition adaptive? Behavioral and Brain Sciences, 14, 471-484. [] [info]

Anderson, J. R. (1991). The adaptive nature of human categorization. Psychological Review, 98, 409-429. [] [info]

Anderson, J. R. (1991). The place of cognitive architectures in a rational analysis. In K. Van Len (Ed.), Architectures for Intelligence. Hillsdale, NJ: Erlbaum. [] [info]

Anderson, J. R. (1992). Automaticity and the ACT* theory. American Journal of Psychology, 105, 165-180. [] [info]

Anderson, J. R. (1992). Intelligent tutoring and high school mathematics. In Proceedings of the Second International Conference on Intelligent Tutoring Systems. Montreal. [] [info]

Anderson, J. R. (1993). Rules of the Mind. Hillsdale, NJ: Erlbaum. [info]

Anderson, J. R. (1993). Problem solving and learning. American Psychologist, 48, 35-44. [] [info]

Anderson, J. R. (1995). Cognitive Psychology and Its Implications: Fourth Edition. New York: Freeman. [info]

Anderson, J. R. (1995). Learning and Memory. New York: Wiley. [info]

Anderson, J. R. (1996). ACT: A simple theory of complex cognition. American Psychologist, 51, 355-365. [] [info]

Anderson, J. R. (1996). Implicit memory and metacognition: Why is the glass half-full? In L. M. Reder (Ed.) Implicit memory and metacognition, 123-136. Mahwah, NJ: Erlbaum. [] [info]

Anderson, J. R. (2000). Cognitive Psychology and Its Implications: Fifth Edition. New York: Worth Publishing. [info]

Anderson, J. R. (2000). Learning and Memory, Second Edition. New York: Wiley. [info]

Anderson, J. R. (2002). Spanning seven orders of magnitude: A challenge for cognitive modeling. Cognitive Science, 26, 85-112 [] [info]

Anderson, J. R. (2005) Human symbol manipulation within an integrated cognitive architecture. Cognitive Science, 29(3), 313-341. [] [info]

Anderson, J. R. (2005). Cognitive Psychology and Its Implications: Sixth Edition. New York: Worth Publishing. [info]

Anderson, J. R. (2007) How Can the Human Mind Occur in the Physical Universe? New York: Oxford University Press. [HTML][Pyramid model][Linear Equations][Friedman model] [info]

Anderson, J. R. (2007). The Algebraic mind. In Gluck, M. A., Anderson, J. R , & Kosslyn, S. M. (Eds.). Memory and Mind: A Festschrift for Gordon H. Bower. New Jersey: Lawrence Erlbaum Associates. [info]

Anderson, J. R. (2007). The image of complexity. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA. [] [info]

Anderson, J. R. (2007). Using brain imaging to guide the development of a cognitive architecture. In W. D. Gray (Ed.), Integrated Models of Cognitive Systems (pp. 49-62).New York, NY: Oxford University Press. [] [info]

Anderson, J. R. (2010). Cognitive Psychology and Its Implications: Seventh Edition. New York: Worth Publishing. [info]

Anderson, J. R., Albert, M. V., & Fincham, J.M. (2005) Tracing Problem Solving in Real Time: fMRI Analysis of the Subject-Paced Tower of Hanoi. Journal of Cognitive Neuroscience, 17 1261-1274. [] [info]

Anderson, J. R., Anderson, J. F., Ferris, J. L., Fincham, J. M., & Jung, K.-J. (2009). The Lateral Inferior Prefrontal Cortex and Anterior Cingulate Cortex are Engaged at Different Stages in the Solution of Insight Problems. Proceedings of the National Academy Sciences, 106 (26), 10799-10804. [][Model] [info]

Anderson, J. R., Anderson, J. F., Ferris, J. L., Fincham, J. M., & Jung, K-J. (unpublished, 2008). Word puzzles produce distinct patterns of activation in the ventrolateral prefrontal cortex and anterior cingulate cortex. [][Model] [info]

Anderson, J. R., Betts, S. A., Ferris, J. L., & Fincham, J. M. (2009). Can neural imaging investigate learning in an educational task? In proceedings of the 36th Annual Carnegie Symposium on Cognition, June 2-3, Carnegie Mellon University. [Document] [][Model] [info]

Anderson, J. R., Betts, S. A., Ferris, J. L., & Fincham, J. M. (2010). Neural imaging to track mental states while using an intelligent tutoring system. Proceedings of the National Academy of Science, 107(15), 7018-7023. [] [][PNAS Matlab Files and data] [info]

Anderson, J. R., Betts, S. A., Ferris, J. L., & Fincham, J. M. (in press). Can neural imaging be used to investigate learning in an educational task? In J. Stazewski (Ed.) Expertise and skill acquisition: The impact of William G. Chase. [info]

Anderson, J. R.,Betts, S. A., Ferris, J. L., & Fincham, J. M. (in press). Cognitive and metacognitive activity in mathematical problem solving: Prefrontal and parietal patterns.Cognitive, Affective, and Behavioral Neuroscience, 11, 52-67. [] [HTML] [info]

Anderson, J. R., Betts, S. A., Ferris, J. L., & Fincham, J. M. (in press). Tracking children's mental states while solving algebra equations. Human Brain Mapping . [][Mindreading HMM files and data] [info]

Anderson, J. R., Betts, S. A., Ferris, J. L., & Fincham, J. M. (submitted). Using Brain Activity to Predict When Students are Engaged in Mathematical Problem Solving. NeuroImage. [info]

Anderson, J. R., Betts, S. A., Ferris, J. L., Fincham, & J. M., Yang, J. (in press). Using Brain Imaging to Track Student Problem solving.IEEE Intelligent Systems. [info]

Anderson, J. R., & Betz, J. (2001). A hybrid model of categorization. Psychonomic Bulletin and Review, 8, 629-647. [] [ACT-R 4.0 web-based simulation and model source code] [info]

Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., & Qin, Y . (2004). An integrated theory of the mind. Psychological Review 111, (4). 1036-1060. [] [info]

Anderson, J. R., Bothell, D., & Douglass, S. (2004) Eye movements do not reflect retrieval: Limits of the eye-mind hypotesis. Psychological Science. 15, 225-231. [] [info]

Anderson, J. R., Bothell, D., & Douglass, S. A. (unpublished). An eye movement study of the fan effect: Evidence for a multiple-access model. [] [info]

Anderson, J. R., Bothell, D., Fincham, J. M., Anderson, A. R., Poole, B. & Qin, Y. (2011). Brain Regions Engaged by Part- and Whole-task Performance in a Video Game: A Model-based Test of the Decomposition Hypothesis. Journal of Cognitive Neuroscience. [][Points description][Space Fortress model files] [info]

Anderson, J. R., Bothell, D., Lebiere, C. & Matessa, M. (1998). An integrated theory of list memory. Journal of Memory and Language, 38, 341-380. [] [ACT-R 4.0 web-based simulations] [info]

Anderson, J. R. & Bower, G.H. (1971). On an associative trace for sentence memory. Journal of Verbal Learning and Behavior, 10, 673-680. [] [info]

Anderson, J. R. & Bower, G. H. (1972). Configural properties in sentence memory. Journal of Verbal Learning and Verbal Behavior, 11, 594-605. [] [info]

Anderson, J. R. & Bower, G. H. (1973). Human Associative memory. Washington: Winston and Sons. [info]

Anderson, J. R. & Bower, G. H. (1974). A propositional theory of recognition memory. Memory and Cognition, 2, 406-412. [] [info]

Anderson, J. R. & Bower, G. H. (1974). Interference in memory for multiple contexts. Memory and Cognition, 2, 509-514. [] [info]

Anderson, J. R., Boyle, C. F., Corbett, A., and Lewis, M. W. (1990) Cognitive modelling and intelligent tutoring. Artificial Intelligence, 42, 7-49. [] [info]

Anderson, J. R., Boyle, C. F., Farrell, R., & Reiser, B. J. (1984). Cognitive principles in the design of computer tutors. In Proceedings of the Sixth Annual Cognitive Science Meetings, 2-10. [] [info]

Anderson, J. R., Boyle, C. F., Farrell, R., & Reiser, B. J. (1987). Cognitive principles in the design of computer tutors. In P. Morris (Ed.), Modelling Cognition, Wiley. [] [info]

Anderson, J. R., Boyle, C. F., & Reiser, B. J. (1985). Intelligent tutoring systems. Science, 228, 456-462. [] [info]

Anderson, J. R., Boyle, C. F., & Reiser, B. J. (1986). Intelligent tutoring systems. Electrotechnology Review, 40-41. [] [info]

Anderson, J. R., Boyle, C. F., & Yost, G. (1985). The geometry tutor. In Proceedings of IJCAI, 1-7. [] [info]

Anderson, J. R., Boyle, C. F., & Yost, G. (1986) The geometry tutor. The Journal of Mathematical Behavior, 5-20. [] [info]

Anderson, J. R., Budiu, R. & Reder, L. M. (2001). A theory of sentence memory as part of a general theory of memory. Journal of Memory and Language, 45, 337-367. [] [ACT-R 4.0 web-based simulations and model source code] [info]

Anderson, J.R., Byrne, D., Fincham, J., & Gunn, P. (2008). Role of Prefrontal and Parietal Cortices in Associative Learning. Cerebral Cortex, 18(4), 904-914. [][Pair1 model] [info]

Anderson, J. R., Carter, C. S., Fincham, J. M., Qin,. Y., Ravizza, S. M., & Rosenberg-Lee, M. (2008). Using fMRI to Test Models of Complex Cognition. Cognitive Science, 32, 1323-1348. [][Model][Model] [info]

Anderson, J. R., Chater, N., Schooler, L., Lewis, R. L., & Brighton, H. (2009). Rational Explanations. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 100), Manchester, United Kingdom. [] [info]

Anderson, J. R., Conrad, F. G., & Corbett, A. T. (1989). Skill acquisition and the LISP Tutor. Cognitive Science, 13, 467-506. [] [info]

Anderson, J. R., Corbett, A., Fincham, J., Hoffman, D., & Pelletier, R. (1992). General principles for an intelligent tutoring architecture. In V. Shute and W. Regian (Eds.), Cognitive Approaches to Automated Instruction, (pp. 81-106). Hillsdale, NJ: Erlbaum. [] [info]

Anderson, J. R. & Corbett, A. T. (1992). Acquisition of LISP Programming Skill. In S. Chipman & A. Meyrowitz (eds.) Foundations of Knowledge Acquisition: Cognitive Models of Complex Learning. Hingham, MA: Kluwer . [] [info]

Anderson, J. R., Corbett, A. T., Koedinger, K., & Pelletier, R. (1995). Cognitive tutors: Lessons learned. The Journal of Learning Sciences, 4, 167-207. [] [info]

Anderson, J. R., Corbett, A. T., & Reiser, B. J. (1987). Essential LISP, Reading, MA: Addison-Wesley. [info]

Anderson, J. R. & Douglass, S. (2001). Tower of Hanoi: Evidence for the Cost of Goal Retrieval. Journal of Experimental Psychology: Learning, Memory, and Cognition, 27(6), 1331-1346. [] [ACT-R 4.0 web-based simulations, model source code and experimental data spreadsheet] [info]

Anderson, J. R., Douglass, S. & Qin, Y. (2004). How should a theory of learning and cognition inform instruction?. In A. Healy (Ed.) Experimental cognitive psychology and it’s applications. American Psychological Association; Washinton, D. C. [] [info]

Anderson, J. R. & Douglass, S. (unpublished). Visual Attention and Problem Solving. [Excel files] [info]

Anderson, J. R. (Ed.) (1981). Cognitive skills and their acquisition. Hillsdale, NJ: Erlbaum. [info]

Anderson, J. R., Farrell, R., & Sauers, R. (1984). Learning to program in LISP. Cognitive Science, 8, 87-130. [] [info]

Anderson, J. R. & Fincham, J. M. (1994). Acquisition of Procedural skills from examples. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20, 1322-1340. [] [info]

Anderson, J. R. & Fincham, J. M. (1996). Categorization and sensitivity to correlation. Journal of Experimental Psychology: Learning, Memory, and Cognition, 22, 259-277. [] [HTML] [info]

Anderson, J. R., Fincham, J. M. & Douglass, S. (1997). The role of examples and rules in the acquisition of a cognitive skill. Journal of Experimental Psychology: Learning, Memory, and Cognition, 23, 932-945. [] [info]

Anderson, J. R., Fincham, J. M. & Douglass, S. (1999). Practice and retention: A unifying analysis. Journal of Experimental Psychology: Learning, Memory, and Cognition, 25, 1120-1136. [] [Excel files] [info]

Anderson, J.R., Fincham, J. M., Qin, Y., & Stocco, A. (2008). A Central circuit of the mind. Trends in Cognitive Science. 12(4), 136-143. [] [info]

Anderson, J. R., Fincham, J. M., Schneider, D. W., & Yang, J. (2012). Using brain imaging to track problem-solving in a complex state space. NeuroImage, 60, 633-643. [] [] [][Normed data for matlab code][Matlab code] [info]

Anderson, J. R. & Gluck, K. (2001). What role do cognitive architectures play in intelligent tutoring systems? In D. Klahr & S. M. Carver (Eds.) Cognition & Instruction: Twenty-five years of progress, 227-262. Erlbaum. [] [info]

Anderson, J. R., Greeno, J. G., Kline, P. K., & Neves, D. M. (1981). Acquisition of problem solving skill. In J. R. Anderson (Ed.), Cognitive skills and their acquisition. Hillsdale, NJ: Erlbaum. [] [info]

Anderson, J. R., Greeno, J. G., Reder, L. M., & Simon, H. A. (2000). Perspectives on learning, thinking, and activity. Educational Researcher, 29, 11-13. [] [info]

Anderson, J. R. & Hastie, R. (1974). Individuation and reference in memory: proper names and definite descriptions. Cognitive Psychology, 5, 495-514. [] [info]

Anderson, J. R. A Stochastic model of sentence memory. Doctoral dissertation, Stanford University, June, 1972. [info]

Anderson, J. R. (in press) Tracking problem solving by multivariate pattern analysis and hidden markov model algorithms. Neuropsychologia. [info]

Anderson, J. R., & Jeffries, R. (1985). Novice LISP errors: Undetected losses of information from working memory. Human Computer Interaction, 1, 107-131. [] [info]

Anderson, J. R., John, B. E., Just, M. A., Carpenter, P. A., Kieras, D. E., & Meyer, D. E. (1995). Production system models of complex cognition. In Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society (pp. 9-12). Hillsdale, NJ: Lawrence Erlbaum Associates. [] [info]

Anderson, J. R. & Kline, P. (1977). Design of a Production System. In Proceedings of the Workshop on Pattern-Directed Inference Systems, 60-65. [] [info]

Anderson, J. R., Kline, P. J., & Beasley, C. M. (1979). A general learning theory and its application to schema abstraction. In G. H. Bower (Ed.) The Psychology of Learning and Motivation, New York: Academic Press. [] [info]

Anderson, J. R., Kline, P. J., & Beasley, C. M. (1980). Complex learning processes. In R. Snow, P. Federico, and W. Montague (Eds.) Aptitude, learning, and instruction: Cognitive processes analyses, Volume II, 199-232. Hillsdale, NJ: Erlbaum. [] [info]

Anderson, J. R., Kline, P., & Lewis, C. (1977). A production system model for language processing. In P. Carpenter & M. Just (Eds.) Cognitive Processes in Comprehension, Hillsdale, NJ: Lawrence Erlbaum Associates. [] [info]

Anderson, J. R., & Kosslyn, S. M. (Eds.), (1984). Essays on Learning and Memory. San Francisco, CA: Freeman [info]

Anderson, J. R. & Lebiere, C. (1998). The atomic components of thought. Mahwah, NJ: Erlbaum. [Chapter abstracts, model source code, and web-based simulations] [info]

Anderson, J. R. & Lebiere, C. L. (2003). The Newell test for a theory of cognition. Behavioral & Brain Science 26, 587-637 [] [info]

Anderson, J. R. & Lewis, C. (1974). Interference with real world knowledge. Paper presented at the meeting of the Psychonomics Society. [] [info]

Anderson, J. R., & Matessa, M. (1990). A rational analysis of categorization. In Proceedings of the Seventh International Machine Learning Conference, 76-84. Palo Alto, CA: Morgan Kaufman. [] [info]

Anderson, J. R. & Matessa, M. (1991). An iterative Bayesian algorithm for categorization. In D. Fisher, M. J. Pazzani & P. Langley (Eds.), Concept Formation: Knowledge and Experience in Unsupervised Learning. San Mateo, CA: Morgan Kaufman. [] [info]

Anderson, J. R. & Matessa, M. (1992). Explorations of an incremental, Bayesian algorithm for categorization. Machine Learning, 9, 275-308. [] [info]

Anderson, J. R. & Matessa, M. (1998). The rational analysis of categorization and the ACT-R architecture. In M. Oaksford & N. Chater (Eds.) Rational models of cognition, pp. 197-217. Oxford: Oxford University Press. [] [info]

Anderson, J. R., Matessa, M. & Douglass, S. (1995). The ACT-R theory and visual attention. In Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society (pp. 61-65). Hillsdale, NJ: Lawrence Erlbaum Associates. [] [info]

Anderson, J. R., Matessa, M., & Lebiere, C. (1997). ACT-R: A theory of higher level cognition and its relation to visual attention. Human Computer Interaction, 12(4), 439-462. [] [Excel files] [info]

Anderson, J. R. & Matessa, M. P. (1997). A production system theory of serial memory. Psychological Review, 104, 728-748. [] [Excel files and LISP code] [info]

Anderson, J. R. & Milson, R. (1989). Human Memory: An Adaptive Perspective. Psychological Review, 96, 703-719. [] [info]

Anderson, J. R. & Paulson, R. (1977). Representation and Retention of Verbatim Information. Journal of Verbal Learning and Verbal Behavior, 16, 439-451. [] [info]

Anderson, J. R. & Paulson, R. (1978). Interference in memory for pictorial information. Cognitive Psychology, 9, 178-202. [] [info]

Anderson, J. R. & Pelletier, R. (1991). A development system for model-tracing tutors. In Proceedings of the International Conference of the Learning Sciences, 1-8. Evanston, IL. [] [info]

Anderson, J. R., Pirolli, P. & Farrell, R. (1988). Learning to program recursive functions. In M. Chi, R. Glaser, & M. Farr (Eds.), The Nature of Expertise. Hillsdale, NJ: Erlbaum, 153-184. [] [info]

Anderson, J. R., & Pirolli, P. L. Spread of activation. (1984). Journal of Experimental Psychology: Learning, Memory, & Cognition, 10, 791-799. [] [info]

Anderson, J. R. & Qin, Y. (2008). Using Brain Imaging to Extract the Structure of Complex Events at the Rational Time Band. Journal of Cognitive Neuroscience, 20 (9) , 1624-1636. [][Model] [info]

Anderson, J. R., Qin, Y., Jung, K-W., & Carter, C. S. (2007). Information-Processing Modules and their Relative Modality Specificity, Cognitive Psychology, 54(3), 185-217 [] [HTML] [model information] [info]

Anderson, J. R., Qin, Y., Sohn, M-H., Stenger, V. A. & Carter, C. S. (2003) An information-processing model of the BOLD response in symbol manipulation tasks. Psychonomic Bulletin & Review. 10, 241-261. [] [ACT-R 5.0 web-based simulations and model source code] [info]

Anderson, J. R., Qin, Y., Stenger, V. A., & Carter, C. S. (2004). The relationship of three cortical regions to an information-processing model. Journal of Cognitive Neuroscience, 16 (4), 637-653. [] [info]

Anderson, J. R. & Reder, L. M. (1974). Negative judgements in and about semantic memory. Journal of Verbal Learning and Verbal Behavior, 13, 664-681. [] [info]

Anderson, J. R., & Reder, L. M. (1979). An elaborative processing explanation of depth of processing. In L.S. Cermak & F.I.M. Craik (Eds.), Levels of processing in human memory. Hillsdale, NJ: Erlbaum. [] [info]

Anderson, J. R., & Reder, L. M. (1987). Effects of numbers of facts studied on recognition versus sensibility judgments. Journal of Experimental Psychology: Learning, Memory, and Cognition, 13, 355-367. [] [info]

Anderson, J. R. & Reder, L. M. (1999). The fan effect: New results and new theories. Journal of Experimental Psychology: General, 128, 186-197. [] [ACT-R 4.0 web-based simulations] [info]

Anderson, J. R. & Reder, L. M. (1999). The size of the fan effect: Process not representation. Journal of Experimental Psychology: General, 128, 207-210. [HTML] [info]

Anderson, J. R., Reder, L. M. & Lebiere, C. (1996). Working memory: Activation limitations on retrieval. Cognitive Psychology, 30(3), 221-256. [] [HTML] [info]

Anderson, J. R., Reder, L. M. & Simon, H. (1998). Radical constructivism and cognitive psychology. In D. Ravitch (Ed.) Brookings papers on education policy 1998. Washington, DC: Brookings Institute Press. [] [info]

Anderson, J.R., Reder, L.M., & Simon, H.A. (2000, Summer). Applications and Misapplications of Cognitive Psychology to Mathematics Education. Texas Educational Review [] [HTML] [info]

Anderson, J. R., & Reiser, B. J. (1985). The LISP tutor. Byte, 10, 159-175. [] [info]

Anderson, J. R., & Ross, B. H. (1980). Evidence against a semantic-episodic distinction. Journal of Experimental Psychology: Human Learning and Memory, 6, 441-466. [] [info]

Anderson, J. R. & Schooler, L. J. (1991). Reflections of the environment in memory. Psychological Science, 2, 396-408. [] [info]

Anderson, J. R. & Schooler, L. J. (2000). The adaptive nature of memory. In E. Tulving and F. I. M. Craik (Eds.) Handbook of memory, 557-570. New York: Oxford University Press. [] [info]

Anderson, J. R. & Schunn, C. D. (2000). Implications of the ACT-R learning theory: No magic bullets. In R. Glaser, (Ed.), Advances in instructional psychology: Educational design and cognitive science (Volume 5), pp. 1-34. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Anderson, J. R. & Sheu, C. F. (1995). Causal inference as perceptual judgments. Memory & Cognition, 23, 510-524. [] [info]

Anderson, J. R., Simon, H. A., & Reder, L. M. (1996). Situated learning and education. Educational Researcher, 25, 5-11. [] [info]

Anderson, J. R., Simon, H. A., & Reder, L. M. (1997). Rejoiner: Situative versus cognitive perspectives: Form versus substance. Educational Researcher, 26, 18-21. [] [info]

Anderson, J. R., & Skwarecki, E. (1986). The automated tutoring of introductory computer programming. Communications of the ACM, 29, 842-849. [] [info]

Anderson, J. R., Taatgen, N. A., & Byrne, M. D. (2005) Learning to achieve perfect time sharing: Architectural implications of Hazeltine, Teague, & Ivry (2002). Journal of Experimental Psychology: Human Perception and Performance 31, 749-761. [] [info]

Anderson, J. R., & Thompson, R. (1989). Use of analogy in a production system architecture. In A. Ortony, et al. (Eds.), Similarity and Analogy, 367-397. [] [info]

Anjaneyulu, K. S. R. & Anderson, J. R. (1992). The advantages of data flow diagrams for beginning programming. In Proceedings of the Second International Conference on Intelligent Tutoring Systems. Montreal. [] [info]

Anschütz, A., Bernholt, S., Özyurt, J., Lenk, J., Moschner, B., Parchmann, I., Möbus, C., & Thiel, C.M. (2011). Impact of Affective and Informative Feedback on Learning in Children before and after a Reattribution Training An Integrated Approach using Neuroimaging, Educational Research, and Modelling. In J. Özyurt, A. Anschütz, S. Bernholt, & J. Lenk (eds.), Interdisciplinary Perspectives on Cognition, Education and the Brain, Hanse Studies, Vol. 7, Hanse-Wissenschaftskolleg (HWK)(pp. 25-35), Institute for Advanced Study: Oldenburg: BIS-Publisher. [info]

Baker, R. S., Corbett, A. T., Koedinger, K. R. (2001) Toward a model of learning data representations. In Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society, (pp. 45-50). Mahwah, NJ: Erlbaum. [] [info]

Baker, R.S., Corbett, A.T., Koedinger, K.R. (2003) Statistical Techniques For Comparing ACT-R Models of Cognitive Performance. In Proceedings of the 10th Annual ACT-R Workshop, 129-134. [] [info]

Ball, J. (2004). A cognitively plausible model of language comprehension. In Proceedings of the 13th Conference on Behavior Representation in Modeling and Simulation (pp. 305-316). [] [info]

Ball, J. (2006). Can NLP Systems be a Cognitive Black Box? Papers from the AAAI Spring Symposium, Technical Report SS-06-02. Menlo Park, CA: AAAI Press. [] [info]

Ball, J. (2007). Construction-driven language processing. In Proceedings of the 2nd European Cognitive Science Conference. [] [info]

Ball, J., Freiman, M., Rodgers, S., & Myers, C. (2010). Toward a Functional Model of Human Language Processing. Poster presented at the 32nd Annual Conference of the Cognitive Science Society. Portland, OR. [] [info]

Ball, J., Heiberg, A., & Silber, R. (2007). Toward a large-scale model of language comprehension in ACT-R 6. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Ball, J., Myers, C., Heiberg, A., Cooke, N.J., Matessa, M., Freiman, M., Rodgers, S. (2010). The synthetic teammate project. Computational and Mathematical Organization Theory, 16(3), 271-299. [info]

Ball, J., Rodgers, S., & Gluck, K. (2004). Integrating ACT-R and Cyc in a large-scale model of language comprehension for use in intelligent agents. In Papers from the AAAI Workshop, Technical Report WS-04-07, pp. 19-25. Menlo Park, CA: AAAI Press [] [info]

Ball, J. T. (2003). Beginnings of a language comprhension module in ACT-R 5.0. In F. Detje, D. Doerner, & H. Schaub (Eds.), In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 231-232). Bamberg, Germany: Universitats-Verlag Bamberg. [] [info]

Ball, J. T., Gluck, K. A., Krusmark, M. A, & Rodgers, S. M. (2003). Compating three variants of a computational process model of basic aircraft maneuvering. In Proceedings of the 12th Conference on Behavior Representation in Modeling and Simulation, 87-89. Orlando, FL: Institute for Simulation & Training. [] [info]

Beaman, C. P., McCloy, R. A., & Smith, P. T. (2006). When does ignorance make use smart? Additional factors guiding heuristic inference. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 54-58 ) . Vancouver, British Columbia, Canada. [] [info]

Belavkin, R. V. (2001). The Role of Emotion in Problem Solving. In Proceedings of the AISB'01 Symposium on Emotion, Cognition and Affective Computing (pp. 49--57). Heslington, York, England. [] [info]

Belavkin, R. V. (2003). Conflict Resolution by Random Estimated Costs. In D. Al-Dabass (Ed.), Proceedings of 17th European Simulation Multiconference (pp. 105--110). Nottingham, England. ISBN 3-936150-25-7 [] [info]

Belavkin, R. V., & Ritter, F. E. (2003). The use of entropy for analysis and control of cognitive models. In F. Detje, D. Doerner, & H. Schaub (Eds.), Proceedings of the Fifth International Conference on Cognitive Modeling. 21-26. Bamberg, Germany: Universitats-Verlag Bamberg. [] [info]

Belavkin, R. V. & Ritter, F. E. (2004). OPTIMIST: A new conflict resolution alogorithm for ACT-R. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 40-45). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Belavkin, R. V., Ritter, F. E., & Elliman, D. G. (1999b). Towards including simple emotions in a cognitive architecture in order to fit children's behaviour better. In Proceedings of the 1999 Conference of the Cognitive Science Society. Mahwah, NJ: Erlbaum. [] [info]

Belvakin, R. V. (2006). Towards a theory of decision-making without paradoxes. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 38-43). Trieste, Italy. [] [info]

Best, B., Fincham, J., Gluck, K., Gunzelmann, G., & Krusmark, M. (2008). Efficient Use of Large-Scale Computational Resources. In J. Hansberger (Ed.), Proceedings of the Seventeenth Conference on Behavior Representation in Modeling and Simulation (pp. 180-181). Orlando, FL: Simulation Interoperability Standards Organization. [] [info]

Best, B.J., Furjanic, C., Gerhart, N., Fincham, J. M., Gluck, K. A., Gunzelmann, G., Krusmark, M., (2009). Adaptive Mesh Refinement for Efficient Exploration of Cognitive Architectures and Cognitive Models. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 252), Manchester, United Kingdom. [] [info]

Best, B. J. & Lebiere, C. (2003). Spatial Plans, Communication, and Teamwork in Synthetic MOUT Agents. In Proceedings of the 12th Conference on Behavior Representation In Modeling and Simulation. [] [info]

Best, B. J. & Lebiere, C. (2006). Cognitive agents interacting in real and virtual worlds. In R. Sun (ed.), Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press; New York, NY, 186-218. [] [info]

Best, B. J. & Lovett, M. (2006). Inducing a cognitive model from examples provided by an optimal algorithm. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 56-61). Trieste, Italy. [] [info]

Best, B. J., Schunn, C. D., & Reder, L. M. (1998). Modeling adaptivity in a dynamic task. In M. A. Gernsbacher & S. J. Derry (Eds.), Proceedings of the 20th Annual Conference of the Cognitive Science Society. (p. 144-149) Mahwah, NJ: Erlbaum. [] [info]

Best, B., Lebiere, C., & Scarpinatto, C. (2002). A model of synthetic opponents in MOUT training simulations using the ACT-R cognitive architecture. In Proceedings of the Eleventh Conference on Computer Generated Forces and Behavior Representation. Orlando, FL. [info]

Blessing, S. & Anderson, J. R. (1996). How people learn to skip steps. Journal of Experimental Psychology: Learning, Memory and Cognition, 22, 576-598. [] [info]

Blessing, S. B. (1997). A programming by demonstration authoring tool for model-tracing tutors. International Journal of Artificial Intelligence in Education, 8, 233-261 [] [info]

Blessing, S. B. & Dronek, P. (2006). The effect of Einstellung on compositional processes. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 2444) . Vancouver, British Columbia, Canada. [] [info]

Boeddinghaus, J., Ragni, M., Knauff, M., & Nebel, B. (2006). Simulating spatial reasoning using ACT-R. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 62-67). Trieste, Italy. [] [info]

Boehm-Davis, D. A., Holt, R. W., Diez, M. & Hansberger, J. T. (2002). Developing and validating cockpit interventions based on cognitive modeling. In Proceedings of the 24th Annual Meeting of the Cognitive Science Society, Fairfax, VA: August, 2002. [] [info]

Böhm, U. & Mehlhorn, K. (2009). The Influence of Spreading Activation on Memory Retrieval in Sequential Diagnostic Reasoning. In Proceedings of the 9th International Conference on Cognitive Modeling. Manchester, UK. [] [info]

Borst, J.P., Taatgen, N.A., Stocco, A., & Van Rijn, H. (2008). Locating the Problem Representation Bottleneck in the Brain. In Proceedings of the fourteenth annual ACT-R workshop. [] [info]

Borst, J.P., Taatgen, N.A., Stocco, A., & Van Rijn, H. (2010). The Neural Correlates of Problem States: Testing fMRI Predictions of a Computational Model of Multitasking. PLoS ONE 5(9): e12966. doi:10.1371/journal.pone.0012966. [] [info]

Borst, J. P., Taatgen, N. A., van Rijn , D. H., Stocco, A., & Fincham, J. M. (2009). Testing fMRI predictions of a dual-task interference model. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 236), Manchester, United Kingdom. [] [info]

Borst, J.P., Taatgen, N.A., & Van Rijn, H. (2009). Modeling Triple-Tasking without Customized Cognitive Control. In N.A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. Cognitive Science Society. [] [info]

Borst, J.P., Taatgen, N.A., & Van Rijn, H. (2010). The Problem State: A Cognitive Bottleneck in Multitasking. Journal of Experimental Psychology: Learning, Memory, & Cognition, 36(2), 363-382. [] [info]

Borst, J.P., Taatgen, N.A., & Van Rijn, H. (in press). Using a Symbolic Process Model as input for Model-Based fMRI Analysis: Locating the Neural Correlates of Problem State Replacements. NeuroImage. [] [info]

Borst, J.P., Taatgen, N.A., Van Rijn, H., Stocco, A., & Fincham, J.M. (2009). Testing fMRI Predictions of a Dual-Task Interference Model. In In Proceedings of the 9th International Conference on Cognitive Modeling [info]

Borst, J. & Taatgen, N. A. (2007). The costs of multitasking in threaded cognition. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Borst, J., Taatgen, N. A., & van Rijn, H. (2010). Locating the Neural Correlates of the Problem State Resource: Analyzing fMRI Data on the Basis of a Computational Model. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 287-288). Philadelphia, PA: Drexel University. [] [info]

Borst, J., Taatgen, N. A., van Rijn, H., & Stocco, A. (2010). Testing fMRI predictions of a Cognitive Model of the Problem State Multitasking Bottleneck. Poster presented at the 32nd Annual Conference of the Cognitive Science Society. Portland, OR. [] [info]

Borst, J. & van Rijn, H. (2006). Memory decay problems in a level-repetition switch task model. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 351-352). Trieste, Italy. [] [info]

Bothell, D. (2007). ACT-R 6.0 Reference Manual. From the ACT-R Web site: http://act-r.psy.cmu.edu/actr6/reference-manual.pdf. [info]

Both, F. & Heuvelink, A. (2007). From a formal cognitive task model to an implemented ACT-R model. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Bower, G. H., & Anderson, J. R. (1972). Recognition and retrieval processes in free recall. Psychological Review, 79, 97-123. [] [info]

Boyland, J. T. & Anderson, J. R. (1997). Comprehension and production as avenues of syntactic priming. In Proceedings of the 19th Annual Conference of the Cognitive Science Society, p. 871. Mahwah, NJ: Erlbaum. [] [] [info]

Bradshaw, G. L., & Anderson, J. R. (1982). Elaborative encoding as an explanation of levels of processing. Journal of Verbal Learning and Verbal Behavior, 21, 165-174. [] [info]

Breslow, L. A., Harrison, A. M., & Trafton, J. G. (2010). Linguistic Spatial Gestures. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 13-18). Philadelphia, PA: Drexel University. [] [info]

Brudzinski, M. E.(2010). Contextual Memory for Goals: On the Role of Context, Attention, and Intention in Cognitive Control. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 301-302). Philadelphia, PA: Drexel University. [] [info]

Brudzinski, M. E., Ratwani, R. M., & Trafton, J. G. (2007). Goal and spatial memory following interruption. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Brudzinski, M., Sims, C., Gray, W., & Schoelles, M. (2010). Visual Similarity is ObViS. Poster presented at the 32nd Annual Conference of the Cognitive Science Society. Portland, OR. [] [info]

Brumby, D. P. (2004) A model of single-page web search: The effect of interdependence on link assessment. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 402-403). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Brumby, D. P. & Hahn, U. (2007). Rules and exemplars in categorization: A computation exploration. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA. [] [info]

Brumby, D. P. & Howes, A. (2004). Good enough but I'll just check: Web-paged search as attentional refocusing. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 46-51). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Brumby, D.P., Howes, A., & Salvucci, D.D. (2007). A cognitive constraint model of dual-task trade-offs in a highly dynamic driving task. In the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2007) (pp. 233-242). New York, NY: ACM Press. [] [info]

Brumby, D. P. & Saluvicci, D. D. (2006). Towards a constraint analysis of human multitasking. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 353-354). Trieste, Italy. [] [info]

Brumby, D. P. & Salvucci, D. D. (2006). Exploring human multitasking strategies from a cognitive constraint approach. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 2451) . Vancouver, British Columbia, Canada. [] [info]

Brumby, D. P., Salvucci, D. D., & Howes, A. (2007). Dialing while driving? A bounded rational analysis of concurrent multi-task behavior. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Brumby, D.P., Salvucci, D.D., Mankowski, W., & Howes, A. (2007). A cognitive constraint model of the effects of portable music-player use on driver performance. To appear in the Proceedings of the Human Factors and Ergonomics Society 51st Annual Meeting (HFES 2007). Santa Monica, CA: Human Factors and Ergonomics Society. [] [info]

Brunstein, A. (2006). Constructing racing cars: Reducing problem complexity for the fastest car ever seen. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 2452 ) . Vancouver, British Columbia, Canada. [] [info]

Brunstein, A., Betts, S. A., & Anderson, J. R. (2009). Practice enables successful learning under minimal guidance. Journal of Educational Psychology, 101(4), 790-802. [] [info]

Brunstein, A., Betts, S. A., Anderson, J. R (unpublished). When minimal guidance does an does not work: Drill and kill makes discovery learning a success. [][discovery model] [info]

Brustein, A. & Larranaga, M. P. (2006). Gender, language, and the goblet of fire. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 355-356). Trieste, Italy. [] [info]

Budiu, R. (2001) The role of background knowledge in sentence processing, Doctoral Dissertation, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA. (Available as Technical Report No. CMU-CS-01-148.) [] [info]

Budiu, R. and Anderson, J. R. (2001). Word Learning in Context: Metaphors and Neologisms. (Technical Report No. CMU-CS-01-147.) School of Computer Science, Carnegie Mellon University. [] [ACT-R 4.0 web-based simulation and Excel files] [info]

Budiu, R. & Anderson, J. R. (2000). Integration of background knowledge in sentence processing: A unified theory of metaphor understanding, semantic illusions, and text memory. In Proceedings of the Third International Conference on Cognitive Modeling, pp. 50-57. Groningen, Netherlands: Universal Press. [] [info]

Budiu R., & Anderson J. R. (2002). Comprehending anaphoric metaphors. Memory & Cognition 30, 158-165. [] [info]

Budiu, R. & Anderson, J. R. (2003). Verifica†ion of sentences containing anaphoric metaphors: An ACT-R computational model. In F. Detje, D. Doerner, & H. Schaub (Eds.), In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 39-44). Bamberg, Germany: Universitats-Verlag Bamberg. [] [info]

Budiu, R. & Anderson, J. R. (2004). Interpretation-Based Processing: A Unified Theory of Semantic Sentence Processing. Cognitive Science 28, 1-44. [] [ACT-R 4.0 web-based simulations and model source code] [info]

Budiu, R. & Anderson, J. R. (2005). Negation in nonliteral sentences. In B. Bara, L. Barsalou & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Budiu, R. & Anderson, J. R. (2006). Word learning in context: Metaphors and neologisms. In M. Vishnevsky (Ed.), Focus on Cognitive Psychology Research, Nova Science Publishers. New York, NY: Hauppage. [] [info]

Budiu, R. & Pirolli, P. (2007). Modeling navigation in degree-of-interest trees. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA. [] [info]

Budiu, R., Pirolli, P., & Fleetwood, M. (2006). Navigation of degree of interest trees. In Proceedings of the Advanced Visual Interfaces Conference (AVI’06), Venice, Italy. [] [info]

Butcher, K. R. & Aleven, V. (2007) Integrating visual and verbal knowledge during classroom learning with computer tutors. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA. [] [info]

Büttner, P. (2010). "Hello Java": Linking ACT-R 6 with a Java Simulation. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 289-290). Philadelphia, PA: Drexel University. [] [info]

Buwalda, T.A., Borst, J.P., Taatgen, N.A., & Van Rijn, H. (2011). Evading a Multitasking Bottleneck: Presenting Intermediate Representations in the Environment. In Proceedings of the 33st Annual Conference of the Cognitive Science Society. Cognitive Science Society. [] [info]

Byrne, M. D., (2001). ACT-R/PM and menu selection: Applying a cognitive architecture to HCI. International Journal of Human-Computer Studies, 55, 41-84. [] [info]

Byrne, M. D. (2003). A Mechanism-Based Framework for Predicting Routine Procedural Errors. In Proceedings of the 25th Annual Meeting of the Cognitive Science Society. pg 204-209. [] [info]

Byrne, M. D. (2003). A mechanism-based framework for predicting routine procedural errors. In R. Alterman & D. Kirsh (Eds.) Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. [] [info]

Byrne, M. D. & Anderson J. A. (1997) Enhancing ACT-R's perceptual-motor abilites. In Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society. Stanford University, p. 880. Mahwah, NJ: Erlbaum. [] [info]

Byrne, M. D., & Anderson, J. R. (2001). Serial modules in parallel: The psychological refractory period and perfect time-sharing. Psychological Review, 108, 847-869. [] [info]

Byrne, M. D., Anderson, J. R., Douglass, S., & Matessa, M. (1999). Eye tracking the visual search of click-down menus. Human Factors in Computing Systems: Proceedings of CHI 99, 402-409. Reading, MA: Addison Wesley. [] [info]

Byrne, M. D., & Kirlik, A. (2002). Integrated modeling of cognition and the information environment: Closed-loop, ACT-R modeling of aviation taxi errors and performance. Technical report AHFD-02-19/NASA-02-10. Savoy, IL: Aviation Human Factors Division, University of Illinois at Urbana-Champaign. [] [info]

Byrne, M. D., & Kirlik, A. (2003). Integrated Modeling of Cognition and the Information Environment: A Closed-Loop, ACT-R Approach to Modeling Approach and Landing With and Without Synthetic Vision System (SVS) Technology. Technical Report AHFD-03-4/NASA-03-3. Savoy, IL: Aviation Human Factors Division, University of Illinois at Urbana-Champaign. [] [info]

Byrne, M. D., & Kirlik, A. (2005). Using computational cognitive modeling to diagnose possible sources of aviation error. International Journal of Aviation Psychology, 15 , 135-155. [] [info]

Byrne, M. D., & Kirlik, A. (2005). Using computational cognitive modeling to diagnose possible sources of aviation error. In International Journal of Aviation Psychology, 15 (2), 135-155. [HTML] [info]

Byrne, M. D., Kirlik, A., Fleetwood, M. D., Huss, D. G., Kosorukoff, A., Lin, R., & Fick, C. S. (2004). A closed-loop, ACT-R approach to modeling approach and landing with and without synthetic vision system (SVS) technology. In Proceedings of the Human Factors and Ergonomics Society 48th Annual Meeting (pp. 2111-2115). Santa Monica, CA: Human Factors and Ergonomics Society. [] [info]

Byrne, M. D., Maurier, D., Fick, C. S., & Chung, P. H. (2004). Routine procedural isomorphs and cognitive control structures. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 52-57). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Cassenti, D.N. (2007). ACT-R model of EEG latency. Proceedings of the Human Factors and Ergonomics Society 51st Annual Meeting (pp. 812-816). Santa Monica, CA: Human Factors and Ergonomics Society. [] [info]

Cassenti, D. N. & Reifers, A. L. (2005) Counting ACT-R to Represent Time. In proceedings of Human Factors and Ergonomics Society Conference. [] [info]

Chavez, A. K. & Salvucci, D. D. (2003) An ACT-R Model of the Wickens Tracking Task. In Proceedings of the 25th Annual Meeting of the Cognitive Science Society. pg 1324. [] [info]

Chikhaoui, B. & Pigot, H. (2008). evaluation of a contextual assistant interface using cognitive models. In Proceedings of the 5th International Conference on Human Computer Interaction (pp. 36-43). Venice, Italy. [] [info]

Chikhaoui, B. & Pigot, H. (2008). Simulation of a human machine interaction: locate objects using a contextual assistant. In Proceedings of the 1st International North American Simulation Technology Conference, August 13-15, Montreal Canada. [] [info]

Chikhaoui, B., Pigot, H., Beaudoin, M., Pratte, G., Bellefeuille, P. & Laudares, F. (2009). Learning a song: an ACT-R Model. In proceedings of the International Conference on Computational Intelligence (pp. 405-410), Oslo, Norway. [] [info]

Chuderski, A. (2007). A model of flexible control in task switching. In Proceedings of The Second European Cognitive Science Conference, Delphi 2007 (pp. 306-311). Hove: Erlbaum. [] [info]

Chuderski, A., Stettner, Z., & Orzechowski, J. (2006). Modeling individual differences in working memory search task. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 74-79). Trieste, Italy. [] [info]

Cochran, R. E., Lee, F. J., & Chown, E. (2006). Modeling emotion: Arousal's impact on memory In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 1133-1138) . Vancouver, British Columbia, Canada. [] [info]

Conrad, F. G. & Anderson, J. R. (1988). The process of learning LISP. Cognitive Science Meetings, 454-460. [] [info]

Cooper, R. P. (2006). Cognitive Architectures as Lakatosian Research Programmes: Two case studies. Philosophical Psychology, 19, 199–220. [] [info]

Cooper, R. P. (2007). The role of falsification in the development of Cognitive Architectures: Insights from a Lakatosian analysis. Cognitive Science, 31, 509-533. [] [info]

Corbett, A.T. and Anderson, J. R. (1993) Student modeling in an intelligent programming tutor. In E. Lemut, B. du Boulay & G. Dettori (Eds.) Cognitive models and intelligent environments for learning programming. New York: Springer-Verlag. [] [info]

Corbett, A. T. and Anderson, J. R. (1995). Knowledge decomposition and subgoal reification in the ACT programming tutor. Artificial Intelligence and Education, 1995: The Proceedings of AI-ED 95. Charlottesville, VA: AACE. [] [info]

Corbett, A. T., & Anderson, J. R., (1989). Feedback timing and student control in the LISP Intelligent Tutoring System. Artificial Intelligence and Education, 64-72. [] [info]

Corbett, A. T. & Anderson, J. R. (1990). The effect of feedback control on learning to program with the LISP Tutor. In Proceedings of the Twelfth Annual Conference of the Cognitive Science Society, 796-803, Cambridge, MA. [] [info]

Corbett, A. T. & Anderson, J. R. (1992). Student modeling and mastery learning in a computer-based programming tutor. In Proceedings of the Second International Conference on Intelligent Tutoring Systems. Montreal. [] [info]

Corbett, A. T. & Anderson, J. R. (1992). The LISP intelligent tutoring system: Research in skill acquisition. In J. Larkin, R. Chabay, and C. Scheftic (Eds.), Computer Assisted Instruction and Intelligent Tutoring Systems: Establishing Communication and Collaboration. Hillsdale, NJ: Erlbaum. [] [info]

Corbett, A. T. & Anderson, J. R. (1995). Knowledge tracing: Modeling the acquisition of procedural knowledge. User Modeling and User-Adapted Interaction, 4, 253-278. [] [info]

Corbett, A. T. & Anderson, J. R. (2001). Locus of feedback control in computer-based tutoring: Impact on learning rate, achievement and attitudes. In Proceedings of ACM CHI'2001 Conference on Human Factors in Computing Systems, 245-252. [] [info]

Corbett, A. T., Anderson, J. R., Carver, V. H. & Brancolini, S. A. (1994). Individual differences and predictive validity in student modeling. In A. Ram & K. Eiselt (Eds.) The Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society. Hillsdale, NJ: Lawrence Erlbaum. [] [info]

Corbett, A. T., Anderson, J. R., & Fincham, J. M. (1991). Menu selection vs. typing: effects on learning in an intelligent programming tutor. In Proceedings of the International Conference of the Learning Sciences, 107-112. Evanston, IL. [] [info]

Corbett, A. T., Anderson J. R., & O'Brien, A. T. (1993) The predictive validity of student modeling in the ACT Programming Tutor. In P. Brna, S. Ohlsson, & H. Pain (Eds.) Artifically Intelligence and Education, 1993: The Proceedings of AI-ED 93. Charlottesville, VA: AACe. [] [info]

Corbett, A.T., Anderson, J. R., & O'Brien, A.T. (1995). Student modeling in the ACT Programming Tutor. In P. Nichols, S. Chipman and B. Brennan (eds.) Cognitively Diagnostic Assessment. (19-41). Hillsdale, NJ: Erlbaum. [] [info]

Corbett, A. T., Anderson, J. R., & Patterson, E. G., (1990). Student modelling and tutoring flexibility in the LISP Intelligent Tutoring System. In C. Frasson and G. Gauthier (Eds.) Intelligent tutoring systems: At the crossroads of artificial intelligence and education. 83-106. Norwood, NJ: Ablex. [] [info]

Corbett, A. T., Anderson, J. R., & Patterson, E. J. (1988). Problem compilation and tutoring flexibility in the LISP Tutor. Intelligent Tutoring Systems, 423-429. [] [info]

Corbett, A. T., Koedinger, K. R., & Anderson, J. R. (1997). Intelligent tutoring systems (Chapter 37). M. G. Helander, T. K. Landauer, & P. Prabhu, (Eds.) Handbook of Human-Computer Interaction, 2nd edition. Amsterdam, The Netherlands: Elsevier Science. [] [info]

Cox, A. L. (2001). What people learn from exploratory device learning. In Proceedings of the Fourth International Conference on Cognitive Modeling, pp. 277-278. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Cox, A. L. & Young, R. M. (2000). Device-oriented and task oriented exploratory learning of interface designs. In Proceedings of the Third International Conference on Cognitive Modeling, pp. 70-77. Veenendaal, The Netherlands: Universal Press. [] [info]

Cox, A. L. & Young R. M. (2001). A Closer Look at Exploratory Learning of Interactive Devices. In the proceedings of the Fourth Annual International Conference of Cognitive Modeling. George Mason University: Fairfax, VA. [] [info]

Craig, K., Doyal, J., Brett, B., Lebiere, C., Biefeld, E., & Martin, E. (2002). Development of a hybrid model of tactical fighter pilot behavior using IMPRINT task network model and ACT-R. In Proceedings of the Eleventh Conference on Computer Generated Forces and Behavior Representation. Orlando, FL. [info]

Crescentini, C., & Stocco, A. (2005). Agrammatism as a failure in the lexical activation process. In B. Bara, L. Barsalou & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Daily, L. Z., Lovett, M. C., & Reder, L. M. (2001). Modeling individual differences in working memory performance: A source activation account in ACT-R. Cognitive Science 25, 315-353. [] [info]

Danker, J. & Anderson, J. R. (submitted). Left ventrolateral prefrontal activity during retrieval precisely reflects the difficulty of accessing information in memory. Cerebral Cortex. [info]

Danker, J. F. & Anderson, J. R. (2007). The roles of prefrontal and posterior parietal cortex in algebra problem-solving: A case of using cognitive modeling to inform neuroimaging data. Neuroimage, 35, 1365-1377. [][Models] [info]

Danker, J. F. & Anderson, J. R. (2007). Using cognitive modeling to understand the roles of prefrontal and posterior parietal cortex in algebra problem solving. In Proceedings of the Society for Cognitive Neuroscience. New York, New York. [] [info]

Danker, J. F. & Anderson, J. R. (2010). The ghosts of brain states past: Remembering reactivates the brain regions engaged during encoding. Psychological Bulletin, 136, 87-102. [] [info]

Danker, J. F., Fincham, J. M., & Anderson, J. R. (2011). The neural correlates of competition during memory retrieval are modulated by attention to the cues. Neuropsychologia, 49, 2427-2438. [] [info]

Danker, J. F., Gunn, P., & Anderson, J. R. (2007). Interference and repetition both impact left prefrontal cortex during recall. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA. [] [info]

Danker, J. F., Gunn, P. & Anderson, J. R. (2008). A rational account of memory predicts left prefrontal activation during controlled retrieval. Cerebral Cortex, 18, 2674-2685. [] [info]

Danker, J. F., Gunn, P., & Anderson, J. R. (2008). A rational analysis of memory predicts left prefrontal activation during controlled retrieval. Cerebral Cortex, 18, 2674-2685. [info]

Danker, J. M. & Anderson, J. R. (2007). The Roles of Prefrontal and Posterior Parietal Cortex in Algebra Problem Solving: A Case of Using Cognitive Modeling to Inform Neuroimaging Data. NeuroImage. 35, 1365-1377. [info]

Das, A., & Stuerzlinger, W. (2007). A Cognitive Simulation Model for Novice Text Entry on Cell Phone Keypads. In Proceedings of the European Conference on Cognitive Ergonomics: ECCE 2007 (pp. 141-147). London, UK. [] [info]

Das, A., & Stuerzlinger, W. (2008). Modeling Learning Effects in Mobile Texting. In Proceedings of the International Conference on Mobile and Ubiquitous Multimedia: MUM 2008 (pp. 154-161). Umea, Sweden. [] [info]

Das, A. & Stuerzlinger, W. (2010). Proactive interference in location learning: A new closed-form approximation. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 37-42). Philadelphia, PA: Drexel University. [] [info]

Del Missier, F. & Crescentini, C. (2011). Executive control of retrieval in noun and verb generation. Cognitive Systems Research, 12(1), 45-55. [] [info]

Del Missier, F. & Fum, D. (2002) Declarative and procedural strategies in problem solving: Evidence from the toads and frogs puzzle. In W. D. Gray & C. D. Schunn (Eds.), Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society, Mahwah, NJ: Lawrence Erlbaum Associates, 262-267. [] [info]

De Obeso Orendain, A. & Wood, S. (2010). Cognitive Modeling of Strategies in Dynamic Tasks. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 43-48). Philadelphia, PA: Drexel University. [] [info]

Derbinsky, N., Laird, J. E., & Smith, B. (2010). Towards efficiently supporting large symbolic declarative memories. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 49-54). Philadelphia, PA: Drexel University. [] [info]

Dickison, D. H. & Taatgen, N. A. (2007). ACT-R Models of cognitive control in the Abstract Decision Making Task. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Dimperio, E., Gunzelmann, G., & Harris, J. (2008). An Initial Evaluation of a Cognitive Model of UAV Reconnaissance. In J. Hansberger (Ed.), Proceedings of the Seventeenth Conference on Behavior Representation in Modeling and Simulation (pp. 165-173). Orlando, FL: Simulation Interoperability Standards Organization. [] [info]

Douglass, S. A. & Myers, C. W. (2010). Concurrent knowledge activation calculation in large declarative memories. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 55-60). Philadelphia, PA: Drexel University. [] [info]

Douglass, S., Ball, J., & Rodgers, S. (2009).Large declarative memories in ACT-R. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 234), Manchester, United Kingdom. [] [info]

Drewitz, U. & Thüring, M. (2009). Modeling the cofidence of predictions: A time based approach. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 222), Manchester, United Kingdom. [] [info]

Dutt, V., Yamaguchi, M., Gonzalez, C., & Proctor, R. W. (2009). In Proceedings of the 9th International Conference of Cognitive Modeling (paper 115), Manchester, United Kingdom. [] [info]

Dye, H. A. (2007). A diagrammatic reasoning: Route planning on maps with ACT-R. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Dzaack, J. (2006). Analysis of cognitive models to evaluate user interfaces. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 2474 ) . Vancouver, British Columbia, Canada. [] [info]

Dzaack, J., Kiefer, J. & Urbas, L. (2005). An approach towards multitasking in ACT-R/PM. In Proceedings of the 12th Annual ACT-R Workshop, Trieste, Italy. [] [info]

Dzaack, J., Troesterer, S., Pape, N., & Urbas, L. (2006). A computational model of retrospective time estimation. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 100-104). Trieste, Italy. [] [info]

Ehret, B. D. (2000). Learning where to look: The acquisition of location knowledge in display-based interaction. Dissertation Abstracts International: Section B: the Sciences & Engineering, 60(10-B), 5239. [HTML] [info]

Ehret, B. D., Gray, W. D., & Kirschenbaum, S. S. (2000). Contending with complexity: Developing and using a scaled world in applied cognitive research. Human Factors, 42(1), 8-23. [] [info]

Elio, R. (2006). On modeling intentions for prospective memory performance. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 1269-1274) . Vancouver, British Columbia, Canada. [] [info]

Elio, R., & Anderson, J. R. (1981). The effects of category generalization and instance similarity on schema abstraction. Journal of Experimental Psychology: Human Learning and Memory, 7, 397-417. [] [info]

Elio, R., & Anderson, J. R. (1984). The effects of information order and learning mode on schema abstraction. Memory and Cognition, 12, 20-30. [] [info]

Elliott, S. & Anderson, J. R. (1995). The effect of memory decay on predictions from changing categories. Journal of Experimental Psychology: Learning, Memory, and Cognition, 815-836. [] [info]

Emond, B. (1997a). Cognitive processes in spreadsheet comprehension. In M. G. Shafto, & P. Langley (Eds.), Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society (pp. 908). Mahwah, NJ: Lawrence Erlbaum. [] [info]

Emond, B. (1997b). Modeling natural language comprehension and anaphora resolution with ACT-R. In Proceedings of the Fourth Annual ACT-R Workshop (pp. 1-8). Pittsburgh, PA: Department of Psychology, Carnegie Mellon University. [] [info]

Emond, B. (1999). Estimating processing time of online semantic interpretation components. Proceedings of the Fifth Annual ACT-R Workshop (pp. 113-118). Fairfax, VA : Department of Psychology, George Mason University. [] [info]

Emond, B. (2003). Cognitive representations and processes in syllogistic reasoning: existential graphs and cognitive modelling. Psychologica, 32, 311-340. [info]

Emond. B. (2006). WN-LEXICAL: An ACT-R module built from the WordNet lexical database. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 359-360). Trieste, Italy. [] [info]

Emond, B. & Ferres, L. (2001) Modeling the False-Belief Task: An ACT-R Implementation of Wimmer & Perner (1983). Second Bisontine Conference for Conceptual and Linguistic Development in the Child Aged from 1 to 6 Years. Besançon (France), March 21-23 2001. [] [info]

Emond, B., West, R.L. (2003). Cyberpsychology: A human-interaction perspective based on cognitive modelling, Cyberpsychology and Behavior, 6(5), 527-536. [HTML] [info]

Emond, B., West, R.L. (2003). Exploring the usability of adaptive menus with a simple object system. Eight Annual ACT-R Workshop Pittsburgh, PA : Department of Psychology, Carnegie Mellon University. [] [info]

Everett, S. P. & Byrne, M. D. (2004). Unintended Effects: Varying Icon Spacing Changes Users' Visual Search Strategy. In Proceedings of ACM CHI '04: Conference on Human Factors in Computing Systems, Vienna, Austria: ACM. [HTML] [info]

Evertsz, R., Busetta, P., Pedrotti, M., Ritter, F. E., & Bittner, J. L. (2008). CoJACK--Achieving principled behaviour variation in a moderated cognitive architecture. In Proceedings of the 16th Conference on Behavior Representation in Modeling and Simulation. 08-BRIMS-025. Orlando, FL: U. of Central Florida. [] [info]

Farrell, R., Anderson, J. R., & Reiser, B. J. (1984). An interactive computer-based tutor for LISP. Proceedings of the 1984 Meetings of AAAI. [] [info]

Farrell, R., Anderson, J. R., & Reiser, B. J. (1984). Interactive student modelling in a computer-based LISP tutor. Proceedings of the Sixth Annual Cognitive Science Meetings, 252-255. [] [info]

Fick, C. S., & Byrne, M. D. (2003) Capture of visual attention by abrupt onsets: A model of contingent orienting. In F. Detje, D. Dörner, & H. Schaub (Eds.) Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 81-86). Bamberg, Germany: Universitas-Verlag Bamberg. [] [info]

Fincham, J. M. & Anderson, J. R. (2006). Distinct roles of the anterior cingulate and prefrontal cortex in acquisition and performance of a cognitive skill. Proceedings of the National Acedemy of Science, U. S. A., 103, 12941-12946. [] [info]

Fincham, J. M., & Anderson, J. R. (2007). An fMRI study of the neural correlates of performance and learning in an algebraic isomorph task. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society. New York, NY, p. 271 [info]

Fincham, J.M., Anderson, J.R., Betts, S.A., & Ferris, J.L. (2010). Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System. In Proceedings of the Third International Conference on Educational Data Mining (EDM2010). Pittsburgh, PA. [] [info]

Fincham, J. M., Carter, C. S., van Veen, V., Stenger, V. A., & Anderson, J. R. (2002). Neural mechanisms of planning: A computational analysis using event-related fMRI. In Proceedings of the National Academy of Sciences. 99 (5), 3346-3351, 2002. [] [info]

Fincham, J. M., Qin, Y., & Anderson, J. R. (2008). An fMRI study of cognitive demand and control during skill acquisition. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA, p. 244. [info]

Fleetwood, M. D. & Byrne, M. D. (2001) Modeling icon search in ACT-R/PM. In Proceedings of the Fourth International Conference on Cognitive Modeling, pp. 17-23. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Fleetwood, M. D. & Byrne, M. D. (2002) Modeling icon search in ACT-R/PM. Cognitive Systems Research, 3, 25-33. [] [info]

Fleetwood, M. D. & Byrne, M. D. (2003). Modeling the visual search of displays: A revised ACT-R/PM model of icon search based on eye-tracking and experimental data. In F. Detje, D. Dörner, & H. Schaub (Eds.) Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 87-92). Bamberg, Germany: Universitas-Verlag Bamberg. [] [info]

Fowles-Winkler, A. M. & Michaelis, L. (2005) An ACT-R model of sentence sorting with argument structure constuctions. In the Proceedings of the Linguistic Society of America Annual Meeting , January 7, 2005, Oakland, CA. [] [info]

Freiman, M. & Ball, J. (2010). Improving the reading rate of double-r language. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 67-72). Philadelphia, PA: Drexel University. [] [info]

Freundenthal, D. (2000). An instance learning model of task-action mappings. In Proceedings of the Third International Conference on Cognitive Modeling, pp. 118-125. Veenendaal, The Netherlands: Universal Press. [] [info]

Fum, D. & Del Missier, F. (2000). Climbing the Mazes: A cognitive model of spatial planning. In Proceedings of the Third International Conference on Cognitive Modeling. Veenendaal, The Netherlands: Universal Press. [] [info]

Fum, D. & Del Missier, F. (2001). Adaptive selection of problem solving strategies. In Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates, 313-318. [] [info]

Fum, D. & Del Missier, F. (2001). Modeling counter offer behavior in dyadic distributive negotiation. In Proceedings of the Fourth International Conference on Cognitive Modeling, pp. 79-84. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Fum, D. & Stocco, A. (2003) Instance vs. rule based learning in controlling a dynamic system. In Proceeedings of the Fifth International Conference on Cognitive Modelling, Bamberg, Germany, 10-12 April 2003. [] [info]

Fum, D. & Stocco, A. (2003) Outcome Evaluation and Procedural Knowledge in Implicit Learning. In Proceedings of the 25th Annual Meeting of the Cognitive Science Society. pg 456-431. [] [info]

Fum, D. & Stocco, A. (2004). Memory, emotion, & rationality: An ACT-R interpretation for gambling task results. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 106-111). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Fu, W-T. (2001). The influence of experienced effort on learning and choice solution paths in a simple navigation task. In Proceedings of the Fourth International Conference on Cognitive Modeling, pp. 279-280. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Fu, W. T. (2003). An ACT-R adaptive planner in a simple map-navigation task. In F. Detje, D. Doerner, & H. Schaub (Eds.), In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 99-104). Bamberg, Germany: Universitats-Verlag Bamberg. [] [info]

Fu, W.-T. (2007), Adaptive tradeoffs between exploration and exploitation: A rational-ecological approach. In W. D. Gray (Ed.), Integrated models of cognitive systems (pp. 165-179). New York: Oxford University Press. [] [info]

Fu, W.-T. & Anderson, J. (2008). Dual learning processes in interactive skill acquisition. Journal of Experimental Psychology, Applied. 14 (2), 179-191. [] [info]

Fu, W.-T. & Anderson, J. (2008), Solving the Credit Assignment Problem: Explicit and Implicit Learning of Action Sequences with Probabilistic Outcomes. Psychological Research, 72 (3), 321-330. [info]

Fu, W-T. & Anderson, J. R. (2004). Extending the Computational Abilities of the Procedural Learning Mechanism in ACT-R. In proceedings of the 26th Annual Conference of the Cognitive Science Society (pp. 416-421). August 4-7, Chicago, USA [] [info]

Fu, W-T. & Anderson, J. R. (2006). From recurrent choice to skill learning: A reinforcement-learning model. Journal of Experimental Psychology: General, 135(2), 184-206. [] [info]

Fu, W. T. & Anderson, J. R. (2006) Solving the credit assignment problem: The interaction of explicit and implicit learning with internal and external state information. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 238-243 ) . Vancouver, British Columbia, Canada. [] [info]

Fu, W.-T., Bothell, D., Douglass, S., Haimson, C., Sohn, M.-H., & Anderson, J. A. (2006), Toward a Real-Time Model-Based Training System. Interacting with Computers, 18(6), 1216-1230. [] [] [info]

Fu, W.-T., Bothell, D., Douglass, S., Haimson, C., Sohn, M.-H., & Anderson, J. R. (2004) Learning from real-time over-the-shoulder instructions in a dynamic task. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 100-105). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Fu, W-T., & Gray, W. D. (2001). Modeling cognitive versus perceptual-motor tradeoffs using ACT-R/PM. In Proceedings of the Fourth International Conference on Cognitive Modeling, pp. 247-248. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Fu, W.-T. & Gray, W. D. (2004), Resolving the paradox of the active user: Stable suboptimal performance in interactive tasks. Cognitive Science, 28(6), 901-935. [] [info]

Fu, W.-T., & Gray, W. D. (2006). Suboptimal tradeoffs in information seeking. Cognitive Psychology, 52(3), 195-242. [] [info]

Fu, W.-T. & Pirolli, P. (2007). The nature of belief inhibition in thinking: How reasoning impairs memory. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA. [] [info]

Fu, W.-T., Pirolli, P. (in press), SNIF-ACT: A Model of Information-Seeking Behavior in the World Wide Web. Human-Computer Interaction. [info]

Gaissmaier, W., Schooler, L. J., & Rieskamp, J. (2005). Memory-related differences in a correlation detection task in ACT-R. In B. Bara, L. Barsalou & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Gaissmaier, W., Schooler, L.J., Rieskamp, J. (2006). Simple predictions fueled by capacity limitations: When are they successful? Journal of Experimental Psychology, 32(5), 966-982. [] [info]

Gerjets, P. & Kammerer, Y. (2010). Topical Relevance and Information Quality in Cognitive Models of Web Search Behavior: Introducing Epistemic Scent into Information Foraging Theory. Poster presented at the 32nd Annual Conference of the Cognitive Science Society. Portland, OR. [] [info]

Gerjets, P., Scheiter, K., Schorr, T. (2003).Modeling Processes of Volitional Action Control in Multiple-Task Performance: How to Explain Effects of Goal Competition and Task Difficulty on Processing Strategies and Performance within ACT-R. Cognitive Science Quarterly, 3, 355-400. [] [info]

Gluck, K. A. (2000). An ACT-R/PM model of algebra symbolization. In N. Taatgen & J. Aasman (Eds.), Proceedings of the Third International Conference on Cognitive Modeling (pp. 134-141). Veenendaal: Universal Press. [] [info]

Gluck, K. A. (2010). Cognitive architectures for human factors in aviation. In E. Salas & D. Maurino (Eds.) Human Factors in Aviation, 2nd Edition (pp. 375-400). New York, NY: Elsevier. [] [info]

Gluck, K. A., Ball, J. T., Gunzelmann, G., Krusmark, M. A., Lyon, D. R., & Cooke, N. J. (2005). A prospective look at a synthetic teammate for UAV applications. In Proceedings of the American Institute of Aeronautics and Astronautics Infotech@Aerospace Conference. Reston, VA: American Institute of Aeronautics and Astronautics. [] [info]

Gluck, K. A., Ball, J. T., Krusmark, M. A., Rodgers, S. M., & Purtee, M. D. (2003). A computational process model of basic aircraft maneuvering. In F. Detje, D. Doerner, & H. Schaub (Eds.), In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 117-122). Bamberg, Germany: Universitats-Verlag Bamberg. [] [info]

Gluck, K. A., Gunzelmann, G., Gratch, J., Hudlicka, E., & Ritter, F. E. (2006, July). The Impact of Cognitive Moderators on Human Cognition & Performance. Symposium abstract in R.Sun & N Miyake (Eds.), Proceedings of the Twenty-Eighth Annual Meeting of the Cognitive Science Society (p. 2658). Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Gluck, K. A., Gunzelmann, G.,& Krusmark, M. A. (2009). Do the details matter? Comparing performance forecasts from two computation theories of fatigue. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 172), Manchester, United Kingdom. [] [info]

Gluck, K. A., Lovett, M. C., & Anderson, J. R. (1997). The adaptive nature of learning from Stat Lady. In Proceedings of the 19th Annual Conference of the Cognitive Science Society, p. 931. Mahwah, NJ: Erlbaum. [] [info]

Gluck, K. A., Lovett, M. C., Anderson, J. R., & Park, J. W. (1997). Learning about learning from Stat Lady. In Proceedings of the World Conference on Educational Multimedia and Hypermedia. Charlottesville, VA: AACE. [info]

Gluck, K. A., Lovett, M. C., Anderson, J. R., & Shute, V. J. (unpublished). The Curriculum and the Interface: A Componential Analysis of the Learning Curve. [] [ACT-R 4.0 web-based simulation and model source code] [info]

Gluck, K .A., Scheutz, M., Gunzelmann, G., Harris, J., & Kershner, J. (2007). Combinatorics meets processing power: Large-scale computational resources for BRIMS. In T. Kelley & Allender, Proceedings of the 2007 Behavior Representation in Modeling and Simulation (BRIMS) Conference (pp. 73-83). Orlando, FL: Simulation Interoperability Standards Organization. [] [info]

Gluck, K. A., Shute, V. J., Anderson, J. R., & Lovett, M. C. (1998). Deconstructing a computer-based tutor: Striving for better learning efficiency in Stat Lady. In B. P. Goettl, H. M. Halff, C. L. Redfield, & V. J. Shute (Eds.), Proceedings of the 4th International Conference on Intelligent Tutoring Systems (pp. 66-75). New York: Springer. [] [info]

Gluck, K. A., Stanley, C. T., Moore, L. R., Reitter, D., & Halbrugge, M. (2010). Exploration for understanding in cognitive modeling. Journal of Artificial General Intelligence,2(2), 88-107. [] [info]

Gluck, M. A., Anderson, J. R , & Kosslyn, S. M. (2007). Memory and Mind: A Festschrift for Gordon H. Bower. New Jersey: Lawrence Erlbaum Associates. [info]

Gonzalez, C., Dutt, V., Healy, A. F., Young, M. D., & Bourne, L. E., Jr. (2009). Comparison of instance and strategy models in ACT-R. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 150), Manchester, United Kingdom. [] [info]

Gonzalez, C., Lerch, F. J., & Lebiere, C. (2003). Instance-based learning in real-time dynamic decision making. Cognitive Science 27 (4), 591-635. [] [info]

Gray, W. D. (2000). The nature and processing of errors in interactive behavior. Cognitive Science, 24, (2), 205-248. [] [info]

Gray, W. D. & Anderson, J. R. (1987). Change-episodes in coding: When and how do programmers change their code? In Proceedings of the Second Conference on the Experimental Study of Programming. NJ: Able, 185-197. [] [info]

Gray, W. D. & M. J. Schoelles (2003). The Nature and Timing of Interruptions in a Complex Cognitive Task: Empirical Data and Computational Cognitive Models. In Proceedings of the 25th Annual Meeting of the Cognitive Science Society. pg 37. [] [info]

Gray, W. D., Schoelles, M. J., & Fu, W-T. (2000). Modeling a continuous dynamic task. In N. Taatgen, & J. Aasman (Eds.), Proceedings of the Third International Conference on Cognitive Modeling (pp. 158-168). Veenendal, The Netherlands: Universal Press. [] [info]

Gray, W. D., Schoelles, M. J., & Sims, C. R. (2004). Learning to choose the most effective strategy: Explorations in expected value. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 112-117). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Gray, W. D., Schoelles, M. J., & Sims, C. R. (2005). Adapting to the task environment: Explorations in expected value. Cognitive Systems Research, 6, 27-40. [] [info]

Gray, W. D., Sims, C. R., Fu, W.-T., & Schoelles, M. J. (2006). The soft constraints hypothesis: A rational analysis approach to resource allocation for interactive behavior. Psychological Review, 113(3), 461-482. [] [info]

Grob, J. D. M. & Wood, S. (2003). Modelling typical alphabetic analogical reasoning in ACT-R. In F. Detje, D. Doerner, & H. Schaub (Eds.), In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 249-250). Bamberg, Germany: Universitats-Verlag Bamberg. [] [info]

Gross, J. B., Gunzelmann, G., Gluck, K. A., Van Dongen, H. P. A., & Dinges, D. F. (2006). Computational modeling of the combined effects of circadian rhythm and sleep deprivation. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 297-302 ) . Vancouver, British Columbia, Canada. [] [info]

Gugerty, L. (in press, publication expected May 2007). Cognitive components of troubleshooting strategies. Thinking and Reasoning. [] [info]

Gugerty, L. & Rodes, W. (in press, publication expected fall 2007). A cognitive model of strategies for cardinal direction judgments. Spatial Cognition and Computation. [] [info]

Guhe, M. (2006). Referential nets as ACT-R declarative memory represenation. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 363-364). Trieste, Italy. [] [info]

Guhe, M. (2009). Generating referring expressions with a cognitive model. In Proceedings of PRE-CogSci 2009: Production of Referring Expressions: Bridging the gap between computational and empirical approaches to reference. 29th July 2009, Amsterdam. [] [info]

Guhe, M. & Bard, E. G. (2008). Adapting the use of attributes to the task environment in joint action: Results and a model. In Proceedings of Londial – The 12th Workshop on the Semantics and Pragmatics of Dialogue, 91–98. [] [info]

Guhe, M., Pease, A., & Smaill, A. (2009). A cognitive model of discovering commutativity. In Proceedings of the 31st Annual Conference of the Cognitive Science Society( p. 727–732). [] [info]

Guhe, M., Smaill, A., & Pease, A. (2010). Towards a cognitive model of conceptual blending. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 293-304). Philadelphia, PA: Drexel University. [] [info]

Gunzelmann, G. (2008). Strategy generalization across orientation tasks: Testing a computational cognitive model. Cognitive Science, 32(5), 835-861. [info]

Gunzelmann, G., & Anderson, J. R. (2000). Strategies and subgoals: Planning and execution in the Tower of Hanoi. Abstracts of the Psychonomics Society, 5, 42. [] [info]

Gunzelmann, G., & Anderson, J. R. (2001). An ACT-R Model of the Evolution of Strategy Use and Problem Difficulty. In Proceedings of the Fourth International Conference on Cognitive Modeling, pp. 109-114. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Gunzelmann, G., & Anderson, J. R. (2002). Strategic differences in the coordination of different views of space. In W. D. Gray and C. D. Schunn (Eds.), Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society (pp. 387-392). Mahwah, NJ: Lawrence Erlbaum Associates. [] [ACT-R 5.0 model source code] [info]

Gunzelmann, G., & Anderson, J. R. (2003). Problem solving: Increased planning with practice. Cognitive Systems Research, 4, 57-76. [] [ACT-R 4.0 web-based simulation and model source code] [info]

Gunzelmann, G. & Anderson, J. R. (2004) Spatial orientation using map displays: A model of the influence of target location. In proceedings of the 26th Annual Conference of the Cognitive Science Society (pp. 517-522) . August 4-7, Chicago, USA [] [info]

Gunzelmann, G., & Anderson, J. R. (2005). Integrating multiple strategies efficiently to solve an orientation task. In B. G. Bara, L. Barsalou, and M. Bucciarelli (Eds.), Proceedings of the Twenty-Seventh Annual Meeting of the Cognitive Science Society (pp. 851-856). Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Gunzelmann, G. & Anderson, J. R. (2006). Location matters: Why target location impacts performance in orientation tasks. Memory & Cognition, 34(1), 41-59. [] [info]

Gunzelmann, G., Anderson, J. R., & Douglass, S. (2004). Orientation Tasks Involving Multiple Views of Space: Strategies and Performance. Spatial Cognition and Computation, 4(3), 209-256. [] [ACT-R 5.0 web-based simulation, model source code, and abstract] [info]

Gunzelmann, G., Anderson, J. R., & Douglass, S. (in press). Orientation tasks with multiple views of space: Strategies and performance. Spatial Cognition [info]

Gunzelmann, G., & Blessing, S. B. (2000). Why are some problems easy? New insights into the Tower of Hanoi. In L. R. Gleitman and A. K. Joshi (Eds.), Proceedings of the Twenty-Second Annual Conference of the Cognitive Science Society (p. 1029). Mahwah: NJ: Lawrence Erlbaum Associates. [] [info]

Gunzelmann, G., Byrne, M. D., Gluck, K. A., & Moore, L. R. (2009). Using computational cognitive modeling to predict dual-task performance with sleep deprivation. Human Factors, 51(2), 251-260. [] [info]

Gunzelmann, G. F. (2006). Understanding similarities in performance on different orientation tasks: Strategy adaptation. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 124-129). Trieste, Italy. [] [info]

Gunzelmann, G., & Gluck, K. A. (2004). Knowledge tracing for complex training applications: Beyond Bayesian mastery estimates. In Proceedings of the Thirteenth Conference on Behavior Representation in Modeling and Simulation (pp. 383-384). Orlando, FL: Simulation Interoperability Standards Organization. [] [info]

Gunzelmann, G., & Gluck, K. A. (2008). Approaches to modeling the effects of fatigue on cognitive performance. In J. Hansberger (Ed.), Proceedings of the Seventeenth Conference on Behavior Representation in Modeling and Simulation (pp. 136-145). Orlando, FL: Simulation Interoperability Standards Organization [] [info]

Gunzelmann, G., & Gluck, K. A. (2009). An Integrative approach to understanding and predicting the consequences of fatigue on cognitive performance. Cognitive Technology, 14(1), 14-25. [] [info]

Gunzelmann, G., Gluck, K. A., Kershner, J., Van Dongen, H. P. A., & Dinges, D. F. (2007). Understanding decrements in knowledge access resulting from increased fatigue. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA. [] [info]

Gunzelmann, G., Gluck, K. A., Moore, L. R., Van Dongen, H. P. A., & Dinges, D. F. (in press). Impaired performance due to sleep deprivation: A role for diminished knowledge access. Cognitive Systems Research. [info]

Gunzelmann, G., Gluck, K. A., Price, S. C., Van Dongen, H. P. A., & Dinges, D. F. (2007). Decreased arousal as a result of sleep deprivation: The unraveling of cognitive control. In W. D. Gray (Ed.), Integrated Models of Cognitive Systems (pp. 243-253). New York: Oxford University Press. [] [info]

Gunzelmann, G., Gluck, K. A., Van Dongen, H. P. A., O'Conner, R. M., & Dinges, D. F. (2005). A neurobehaviorally inspired ACT-R model of sleep deprivation: Decreased performance in psychomotor vigilance. In B. G. Bara, L. Barsalou, and M. Bucciarelli (Eds.), Proceedings of the Twenty-Seventh Annual Meeting of the Cognitive Science Society, (pp. 857-862). Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Gunzelmann, G., Gross, J. B., Gluck, K. A., & Dinges, D. F. (2009). Sleep deprivation and sustained attention performance: Integrating mathematical and cognitive modeling. Cognitive Science, 33(5), 880-910. [] [info]

Gunzelmann, G., Gross, J. B., Gluck, K. A., & Dinges, D. F. (2009). Sleep Deprivation and Sustained Attention Performance: Integrating Mathematical and Cognitive Modeling. Cognitive Science. [][Model] [info]

Gunzelmann, G. & Lyon, D. R. (2006). Qualitative and quantitative reasoning and instance-based learning in spatial orientation. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 303-308 ) . Vancouver, British Columbia, Canada. [] [info]

Gunzelmann, G. & Lyon, D. R (2007). Cognitive architectures: Valid control mechanisms for spatial information processing. In H. Schultheis, T. Barkowsky, B. Kuipers, and B. Hommel (Eds.), Technical Report #SS07-01: AAAI Spring Symposium Series: Control Mechanisms for Spatial Knowledge Processing in Cognitive/Intelligent Systems (pp. 23-28). Menlo Park, CA: AAAI Press. [] [info]

Gunzelmann, G. & Lyon, D. R. (2007). Mechanisms of human spatial competence. In T. Barkowsky, M. Knauff, G. Ligozat, & D. Montello (Eds.), Spatial Cognition V: Reasoning, Action, Interaction. Lecture Notes in Artificial Intelligence #4387 (pp. 288-307). Berlin, Germany: Springer-Verlag. [] [info]

Gunzelmann, G., Moore, L. R., Gluck, K. A., Van Dongen, H. P. A., & Dinges, D. F. (2008). Individual differences in sustained vigilant attention: Insights from computational cognitive modeling. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the Thirtieth Annual Meeting of the Cognitive Science Society (pp. 2017-2022). Austin, TX: Cognitive Science Society. [] [info]

Gunzelmann, G., Moore, L. R., Gluck, K. A., Van Dongen, H. P. A., & Dinges, D. F. (2009). Examining sources of individual variation in sustained attention. In N. Taatgen, & H. van Rijn (Eds.), Proceedings of the Thirty-First Annual Meeting of the Cognitive Science Society (pp. 608-613). Austin, TX: Cognitive Science Society. [] [info]

Gunzelmann, G., Moore, R. L., Salvucci, D. D., & Gluck, K. A. (2009). Fluctuations in alertness and sustained attention: Prediction driver performance. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 239), Manchester, United Kingdom. [] [info]

Gunzelmann, G., Moore, R. L., Salvucci, D. D., & Gluck, K. A. (in press). Sleep loss and driver performance: Quantitative predictions with zero free parameters. Cognitive Systems Research. [info]

Gunzelmann, G., Pope, A., Wray, R., Best, B. J. & Trafton, J. G. (2008). Integrating cognitive architectures with external environments: Approaches and contributions to validation. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the Thirteenth Annual Meeting of the Cognitive Science Society (pp. 913-914). Austin, TX: Cognitive Science Society. [] [info]

Haimson, C., & Anderson, J. R. (2002). Partitioning visual displays: Directing the path of visual search. In Proceedings of the Human Factors and Ergonomics Society 46th Annual Meeting, 1604-1608, Baltimore, MD. [] [info]

Haimson, C., Bothell, D., Douglass, S. A., & Anderson, J. R. (2004) Partitioning visual displays aids task-directed search. Human Factors: The Journal of Human Factors and Ergonomics Society, 3, 551-566 (16). [] [info]

Halverson, T., Gunzelmann, G., Moore, L. R., & Van Dongen, H. P. A. (2010). Modeling the effects of work shift on learning in a mental orientation and rotation task. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 79-84). Philadelphia, PA: Drexel University. [] [info]

Halverson, T., Gunzelmann, G., Moore, L. R., & Van Dongen, H. P. A. (2010). The Effects of Work Shift and Strategy on an Orientation Task. In R. Catrambone & S. Ohlsson (Eds.), Proceedings of the Thirty-Second Annual Meeting of the Cognitive Science Society (pp. 2134-2139). Austin, TX: Cognitive Science Society. [] [info]

Harrison, A. M., & Schunn, C. D. (2002). ACT-R/S: A Computational and Neurologically Inspired Model of Spatial Reasoning. In Proceedings of the 24th Annual Meeting of the Cognitive Science Society, Fairfax, VA: August, 2002. [] [info]

Harrison, A. M. & Schunn, C. D. (2003). ACT-R/S: Look Ma, no "cognitive map"!. In F. Detje, D. Doerner, & H. Schaub (Eds.), In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 129-134). Bamberg, Germany: Universitats-Verlag Bamberg. [] [info]

Harrison, A. M. & Trafton, J. G. (2009). Gaze-following and awareness of visual perspective in chimpanzees. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 215), Manchester, United Kingdom. [] [info]

Harrison, A. & Trafton, J. G. (2010). Cognition for action: an architectural account for “grounded interaction”. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 246-251). Austin, TX: Cognitive Science Society. [] [info]

Harvey, L. & Anderson, J. R. (1996). Transfer of declarative knowledge in complex information processing domains. Human-Computer Interaction, 11, 69-96. [HTML] [info]

Haverty, L. A., Koedinger, K. R., Klahr, D., & Alibali, M. W. (2000). Solving induction problems in mathematics: Not-so-trivial pursuit. Cognitive Science, 24, (2), 249-298. [] [info]

Heiberg, A., Harris, J., & Ball, J. T. (2007). Dynamic visualization of ACT-R declarative memory structure. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Heinath, M. (2009). High-level ACT-R modeling based on SGT task models. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 171), Manchester, United Kingdom. [] [info]

Heinath, M., Dzaack, J., Wiesner, A. & Urbas, L. (2007). Simplifying the Development and the Analysis of Cognitive Models. In proceedings of EuroCogSci07. Delphi, Greece. [] [info]

Heinath, M. & Urbas, L. (2007). Simplifying the Development of Cognitive Models using Pattern-based Modeling. In proceedings of the 10th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems. Seoul, Korea. [] [info]

Hiatt, L. M. & Trafton, J. G. (2010). A cognitive model of theory of mind. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 91-96). Philadelphia, PA: Drexel University. [] [info]

Hiatt, L. M., Trafton, J. G., Harrison, A.M., & Schultz, A. C. (2004) A cognitive model for spatial perspective taking. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 354-355). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Holt, R. W., Hansberger, J. T., Chong, R. S., & Boehm-Davis, D. A. (January 2002) Modeling Aviation Crew Interaction using a Cognitive Architecture. Presented at the Workshop on ACT-R Models of Human-System Interaction (pp. 1-3). [] [info]

Howes, A., Vera, A., Lewis, R. L., & McCurdy, M. (2004). Cognitive constraint modeling: A formal approach to supproting reasoning about behavior. In proceedings of the 26th Annual Conference of the Cognitive Science Society (pp.595-600) . August 4-7, Chicago, USA [] [info]

Hussain, F. & Wood, S. (2009). Performance of children on the attentional network test. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 132), Manchester, United Kingdom. [] [info]

Huss, D. G., & Byrne, M. D. (2003). An ACT-R/PM model of the articulatory loop. In F. Detje, D. Doerner, & H. Schaub (Eds.) Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 135-140). Bamberg, Germany: Universitas-Verlag Bamberg. [] [info]

Huss, D., Taatgen, N. A., & Anderson, J. R. (2006). Instructional Representation in cognitive modeling. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 367-368). Trieste, Italy. [] [info]

Janssen, C. P. (2010). Understanding strategic adaptation in multitask settings. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 309-310). Philadelphia, PA: Drexel University. [] [info]

Janssen, C.P. & Brumby, D.P. (2010). Strategic Adaptation to Performance Objectives in a Dual-Task Setting. Cognitive Science, 34(8), 1548+1560. [] [info]

Janssen, C.P., Brumby, D.P., Dowell, J., & Chater, N. (2010). Strategic Adaptation in a Dual-Task Setting. In Proceedings of the European ACT-R Workshop 2010. Groningen, Netherlands. [] [info]

Janssen, C.P. & Gray, W.D. (in press) When, What, and How Much to Reward in Reinforcement Learning based Models of Cognition. Accepted for Cognitive Science. [info]

Janssen, C.P., Gray, W.D., & Schoelles, M.J. (2008). How a Modeler's Conception of Rewards Influences a Model's Behavior: Investigating ACT-R 6's Utility Learning Mechanism. In Proceedings of the 15th Annual ACT-R Workshop (p. 42), Pittsburgh, PA. [] [info]

Janssen, C.P., Young, R.M., Ament, G.A., Back, J., Brumby, D.P., Cox, A.L., & Grace, J. (2010). Cognitive Modelling at the UCL Interaction Centre. In Proceedings of the European ACT-R Workshop 2010. Groningen, Netherlands. [info]

Jastrzembski, T. S. & Gluck, K. A. (2009). A formal comparison of model variants for performance prediction. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 258), Manchester, United Kingdom. [] [info]

Jastrzembski, T. S., Gluck, K. A., & Gunzelmann, G. (2006). Knowledge tracing and prediction of future trainee performance. In Proceedings of the 2006 Interservice/Industry Training, Simulation, and Education Conference (pp. 1498-1508). Orlando, FL: National Training Systems Association. [] [info]

Jastrzembski, T. S., Gluck, K. A., & Gunzelmann, G. (2006). Mathematical models of spacing effects in memory: Applications in education and training. In Proceedings of the Society for Mathematical Psychology annual meeting: Vancouver, Canada. [] [info]

Jilk, D.J., Lebiere, C., O’Reilly, R. C., & Anderson, J. R. (2008) SAL: An explicitly pluralistic cognitive architecture. Journal of Experimental and Theoretical Artificial Intelligence, 20, 197-218. [info]

John, B. E. & Jastrzembski, T. S. (2010). Exploration of costs and benefits of predictive human performance modeling for design. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 115-120). Philadelphia, PA: Drexel University. [] [info]

John, B. E., Prevas, K., Salvucci, D. D., & Koedinger, K. (2004). Predictive human performance modeling made easy. In CHI 2004, ACM Conference on Human Factors in Computing Systems, CHI Letters 6(1). [] [info]

John, B. E., Prevas, K., Salvucci, D. D., Koedinger, K. (2004) Predictive human performance modeling made easy. In Proceedings of CHI 2004 (Vienna, Austria, April 2004), ACM New York. 455-462. [] [HTML] [info]

John, B. E. & Salvucci, D. D. (2005) Multi-Purpose Prototypes for Assessing User Interfaces in Pervasive Computing Systems. IEEE Pervasive Computing 4(4), 27-34. [HTML] [info]

John, B. E., & Salvucci, D. D. (2005, Oct.-Dec.). Multi-purpose prototypes for assessing user interfaces in pervasive computing systems. IEEE Pervasive Computing, 4(4), 27-34.. [] [info]

John, B. E., Salvucci, D. D., Centgraf, P., Prevas, K. (2004). Integrating models and tools in the context of driving and in-vehicle devices. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 130-135). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Johnson, A. & Taatgen, N.A. (2004) User modeling. In Robert W. Proctor and Kim-Phuong L. Vu (Eds.), The Handbook of Human Factors in Web Design. [HTML] [info]

Johnson, T. R., Wang, H. & Zhang J. (2003) An ACT-R Model of Human Object-Location Memory. In Proceedings of the 25th Annual Meeting of the Cognitive Science Society. pg 1361. [] [info]

Johnson, T. R., Wang, H., Zhang, J., & Wang, Y. (2002). A model of spatio-temporal coding of memory for multidimensional stimuli. In Proceedings of the 24th Annual Meeting of the Cognitive Science Society, Fairfax, VA: August, 2002. [] [info]

Jones, G., & Ritter, F. E. (1997). Modelling transitions in childrens' development by starting with adults. In European Conference on Cognitive Science, 62-67. Manchester, UK. [] [info]

Jones, G., & Ritter, F. E. (1998). Initial explorations of modifying architectures to simulate cognitive and perceptual development. In Proceedings of the Second European Conference on Cognitive Modelling. 44-51. Nottingham: Nottingham University Press. [] [info]

Jones, G., & Ritter, F. E. (1998). Simulating development by modifying architectures. In Proceedings of the Cognitive Science Society. 543-548. Madison, WI: Lawrence Erlbaum. [] [info]

Jones, G., & Ritter, F. E. (2000). Over-estimating cognition time: The benefits of using a task simulation. In Simulating Human Agents, American Association for Artificial Intelligence Fall 2000 Symposium Series (pp. 67-74). Menlo Park, CA: AAAI Press. [info]

Jones, G., Ritter, F. E., & Wood, D. J. (2000). Using a cognitive architecture to examine what develops. Psychological Science, 11(2), 1-8. [] [info]

Jones, R. M., Crossman, J. A., Lebiere, C., & Best, B. J. (2006). An abstract language for cognitive modeling. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 160-165). Trieste, Italy. [] [info]

Jones, R. M., Lebiere, C., & Crossman, J. A. (2007). Comparing modeling idioms in ACT-R and Soar. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Jones, W. P., & Anderson, J. R. (1982). Semantic categorization and high-speed scanning: When retrieval is faster from long-term memory than from short-term memory. Journal of Experimental Psychology: Human Learning and Memory, 8, 237-242. [] [info]

Jones, W. P., & Anderson, J. R. (1987). Short- and long-term memory retrieval: A comparison of the effects of information load and relatedness. Journal of Experimental Psychology: General, 116, 137-153. [] [info]

Jongman, L. & Taatgen, N. A. (1999). An ACT-R model of individual differences in changes in adaptivity due to mental fatigue (pp. 246-251). In Proceedings of the twenty-first annual conference of the cognitive science society. Mahwah, NJ: Erlbaum. [] [info]

Jung, K.-J., Prasad, p., Qin, Y., & Anderson, J. R. (2005). Extraction of overt verbal response from acoustic noise from the scanner in fMRI by use of segmented active noise cancellation. Magnetic Resonance Imaging, 53, 739-744. [info]

Juvina, I. & Taatgen, N. A. (2006). How attentional blink facilitates multitasking. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 2520 ) . Vancouver, British Columbia, Canada. [] [info]

Juvina, I. & Taatgen, N.A. (2007). Modeling Control Strategies in the N-Back Task. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Juvina, I., & Taatgen, N. A. (2009). A repetition-suppression account of between-trial effects in a modified Stroop paradigm. Acta Psychologica, 131(1), 72-84. [info]

Juvina, I., Taatgen, N.A., & Dickison, D. (2007). Cognitive Control as Alternation of Activation and Suppression in the Stroop Task. In proceedings of the 29th Annual Conference of the Cognitive Science Society. Nashville, TN, USA. [] [info]

Kao, Y. & Anderson, J. R. (2006). What are they thinking? Decomposing a complex task. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 2523) . Vancouver, British Columbia, Canada. [] [info]

Kao, Y., Douglass, S. A., Fincham, J. M., Jung, K.-J., Qin, Y., & Anderson, J. R. (submitted). An information-processing approach to deconstructing a geometry proof task. [info]

Kao, Y. S., Douglass, S. A., Fincham, J. M., & Anderson, J. R. (in revision). Traveling the Second Bridge: Using fMRI to Assess an ACT-R Model of Geometry Proof. [][Model] [info]

Kase, S. E., Ritter, F. E., Schoelles, M. (2009). Caffeine's effect on appraisal and mental arithmetic performance: A cognitive modeling approach tells us more. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 252), Manchester, United Kingdom. [info]

Katz, I. R., & Anderson J. R. (1988). Debugging: An analysis of bug-location strategies. Human Computer Interaction, 3, 351-399. [] [info]

Kelley, T. D., Lee, F. J., & Wiley, P. (2000). Developing an ACT-R model of spatial manipulation. ARL-Technical report. (ARL-TR-2179). Aberdeen Proving Ground, Aberdeen, Maryland. [] [info]

Kelley, T. D., Patton, D. & Allender, L. (2001). Error rates in mental manipulation of spatial images. Perceptual and Motor Skills, 92, 985-992. [] [info]

Kelley, T. D., Patton, D. J., Allender, L. (2001). Predicting situation awareness errors using cognitive modeling. In M. J. Smith, G. Salvendy, D. Harris, R.J. Koubek. (Eds.) Proceedings of Human-Computer Interaction International 2001 Conference: (Vol. 1) Usability Evaluation and Interface Design: Cognitive Engineering, Intelligent Agents and Virtual Reality, 1455 -1459. Mahwah, NJ: Erlbaum. [] [info]

Kelley, T. D., Scribner, D. R., (2003). Developing a Predictive Model of Dual Task Performance. ARL Technical Report ARL-MR-0556. [] [info]

Kelley, Troy, D. (2003). Symbolic and Sub-symbolic Representations in Computational Models of Human Cognition: What can be learned from biology? Theory and Psychology, 13(6), December. [] [info]

Kennedy, W. G. (2011). Notes on teaching ACT-R modeling. Retrieved from http://act-r.psy.cmu.edu/papers/1006/notesfortutorial.pdf [] [Document] [info]

Kennedy, W. G. & Bugajska, M. (2010). Integrating fast and slow cognitive processes. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 121-126). Philadelphia, PA: Drexel University. [] [info]

Kennedy, W.G., Bugajska, M.D., Marge, M., Fransen, B.R., Adams, W., Perzanowski, D., Schultz, A.C., and Trafton, J.G. (2007) Spatial Representation and Reasoning for Human-Robot Interaction. In Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI 2007) (pp 1554-1559). Vancouver, Canada: AAAI Press. [] [info]

Kennedy, W.G., & Trafton, J.G. (2006) Long-term Learning in Soar and ACT-R. In Proceedings of the Seventh International Conference on Cognitive Modeling(pp. 166-171). Trieste, Italy. [Document] [Document] [] [info]

Kennedy, W. G., & Trafton, J.G. (2007) Long-term symbolic learning. Cognitive Systems Research. doi:10.1016/j.cogsys.2007.06.005 [] [HTML] [info]

Kennedy, W.G., & Trafton, J.G. (2007) Using Simulations to Model Shared Mental Models. In Proceedings of the 8th International Conference on Cognitive Modeling Ann Arbor, Michigan, USA. [] [info]

Kessler, C., & Anderson, J. R. (1986). A model of novice debugging in LISP. In E. Soloway & S. Iyengar (Eds.), Empirical studies in programmers, Norwood, NJ: Ablex. [] [info]

Kessler, C., & Anderson, J. R. (1986). Learning flow of control: Recursive and iterative procedures. Human Computer Interaction, 2, 135-166. [] [info]

Kiefer, J. (2006). Modeling individual strategic behavior in human multitasking. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 2530) . Vancouver, British Columbia, Canada. [] [info]

Kiefer, J. & Urbas, L. (2006). How to model different strategies in dynamic task environments. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 172-176). Trieste, Italy. [] [info]

Kim, J. W., Koubek, R. J., & Ritter, F. E. (2007). Investigation of procedural skills degradation from different modalities. In Proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Kim, J. W., Ritter, F. E., & Koubek, R. J. (2006). ESEGMAN: A substrate for ACT-R architecture and an Emacs LISP application. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 375-376). Trieste, Italy. [] [info]

Kim, Sung-youn. (2011). A Model of Political Information-Processing and the Emergence of Cooperation in the Repeated Prisoner's Dilemma. Journal of Theoretical Politics. [info]

Kim, Sung-youn. (2011). A Model of Political Judgment: An Agent-based Simulation of Candidate Evaluation. Journal of Artificial Societies and Social Simulation, 14 (2). [info]

Kim, Sung-youn, Taber, C., & Lodge, M. (2010). A model of citizens as motivated reasoner: Modeling the 2000 Presidential Election. Political Behavior 32(1). [info]

Kim, S.-Y., Lodge, M., & Taber, C. (2004). A computational model of voter- The dynamics of political candidate evaluation. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 362-363). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Kim, S.-Y. & Taber, C. (2004). A cognitive/affective model of strategic behavior-2-person repeated prisoner's dilemma game. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 360-361). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

King, D. R. W. & Anderson, J. R. (1976). Long-term memory search: An intersecting activation process. Journal of Verbal Learning and Verbal Behavior, 15, 587-605. [] [info]

Koedinger, K. & Anderson, J. R. (1991) Interaction of deductive and inductive reasoning strategies in geometry novices. In Proceedings of the 14th Annual Conference of the Cognitive Science Society, 780-784. [] [info]

Koedinger, K. & Anderson, J. R. (1993). Reifying implicit planning in geometry: Guidelines for model-based intelligent tutoring system design. In S. P. Lajoie & S. J. Derry (Eds.) Computers as cognitive tools (pp. 15-46). Hillsdale, NJ: Erlbaum. [] [info]

Koedinger, K. R. & Aleven, V. (in press). Exploring the assistance dilemma in experiments with Cognitive Tutors. Educational Psychology Review. [] [info]

Koedinger, K. R., & Anderson, J. R. (1990). Abstract planning and perceptual chunks: Elements of expertise in geometry. Cognitive Science, 14, 511-550. [] [info]

Koedinger, K. R., & Anderson, J. R. (1993). Effective use of intelligent software in high school math classrooms. In Proceedings of the 1993 Conference on Artificial Intelligence in Education. Charlottesville, VA: AACE. [] [info]

Koedinger, K. R., & Anderson, J. R. (1998). Illustrating principled design: The early evolution of a cognitive tutor for algebra symbolization. Interactive Learning Environments, 5, 161-180. [] [info]

Koedinger, K. R., Anderson, J. R., Hadley, W. H., & Mark, M. (1997). Intelligent tutoring goes to school in the big city. International Journal of Artificial Intelligence in Education, 8, 30-43. [] [info]

Koedinger, K. R., Anderson, J. R., Hadley, W. H., & Mark, M. A. (1995). Intelligent tutoring goes to school in the big city. In Proceedings of the 7th World Conference on Artificial Intelligence in Education, August 16-19, 1995, Washington, DC, USA. [] [info]

Koedinger, K. R., & MacLaren, B. A. (1997). Implicit strategies and errors in an improved model of early algebra problem solving. In Shafto, M. G. & Langley, P. (Eds.) Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society, (pp. 382-387). Hillsdale, NJ: Erlbaum. [] [info]

Koedinger, K. R. & MacLaren, B. A. (2002). Developing a pedagogical domain theory of early algebra problem solving. CMU-HCII Tech Report 02-100. [] [info]

Koedinger, K.R. & Mathan, S. (2004) Distinguishing qualitatively different kinds of learning using log files and learning curves. ITS 2004 Log Analysis Workshop Maceio, Brazil, 39-46. [HTML] [info]

Koedinger, K. R. & Terao, A. (2002). A cognitive task analysis of using pictures to support pre-algebraic reasoning. In C. D. Schunn & W. Gray (Eds.), Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society, 542-547. Mahwah, NJ: Lawrence Erlbaum Associates [] [info]

Kronauer, R. E., Gunzelmann, G., Van Dongen, H. P. A., Doyle, F. J. III, & Klerman, E. B. (2007). Uncovering physiologic mechanisms of circadian rhythms through mathematical modeling. Journal of Biological Rhythms, 22(3), 233-245. [] [info]

Kushleyeva, Y & Salvucci, D. D. (2003) Human Multitasking: Towards an ACT-R Task-Independent General Executive. In Proceedings of the 25th Annual Meeting of the Cognitive Science Society. pg 1369. [] [info]

Kushleyeva, Y., Salvucci, D. D., & Lee, F. J. (2004). Deciding when to switch tasks in time-critical multitasking. In Proceedings of the Sixth International Conference on Cognitive Modeling. [] [info]

Kushleyeva, Y., Salvucci, D. D., & Lee, F. J. (2005). Deciding when to switch tasks in time-critical multitasking. Cognitive Systems Research, 6, 41-49. [] [info]

Lebiere, C. (1998). The dynamics of cognition: An ACT-R model of cognitive arithmetic. Ph.D. Dissertation. CMU Computer Science Dept Technical Report CMU-CS-98-186. Pittsburgh, PA. Available at http://reports-archive.adm.cs.cmu.edu/. [] [info]

Lebiere, C. (1999). The dynamics of cognition: An ACT-R model of cognitive arithmetic. Kognitionswissenschaft., 8 (1), pp. 5-19. [] [Abstract and Model Simulations] [info]

Lebiere, C. (2001). A theory-based model of cognitive workload and its applications. In Proceedings of the 2001 Interservice/Industry Training, Simulation and Education Conference (I/ITSEC). Arlington, VA: NDIA. [info]

Lebiere, C. (2002). Modeling group decision making in the ACT-R cognitive architecture. In Proceedings of the 2002 Computational Social and Organizational Science (CASOS). June 21-23, Pittsburgh, PA. [info]

Lebiere, C. (2005). Constrained functionality: Application of the act-r cognitive architecture to the ambr modeling comparison. In K. A. Gluck and R. Pew, editors, Modeling Human Behavior With Integrated Cognitive Architectures, Mahwah, NJ: Erlbaum. [] [info]

Lebiere, C. & Anderson, J. R. (1993). A Connectionist Implementation of the ACT-R Production System. In Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society, pp. 635-640. [] [info]

Lebiere, C, Anderson, J. R., & Bothell, D. (2001). Multi-tasking and cognitive workload in an ACT-R model of a simplified air traffic control task. In Proceedings of the Tenth Conference on Computer Generated Forces and Behavior Representation. Norfolk, VA. [] [info]

Lebiere, C., Anderson, J. R., & Reder, L. M. (1994). Error modeling in the ACT-R production system. In Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society, 555-559. Hillsdale, NJ: Erlbaum. [info]

Lebiere, C. & Best, B. J. (2009). Balancing Long-Term Reinforcement and Short-Term Inhibition. In Proceedings of the 31st Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. [] [info]

Lebiere, C., Biefeld, E., Archer, R., Archer, S., Allender, L., & Kelley, T. (2002). IMPRINT/ACT-R: Integration of a task network modeling architecture with a cognitive architecture and its application to human error modeling. In Proceedings of the Advanced Technologies Simulation Conference. San Diego, CA. [info]

Lebiere, C., Gonzalez, C., & Martin, M. (2007). Instance-based decision making model of repeated binary choice. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Lebiere, C., Gray, R., Salvucci, D. & West R. (2003) Choice and Learning under Uncertainty: A Case Study in Baseball Batting. In Proceedings of the 25th Annual Meeting of the Cognitive Science Society. pg 704-709. [] [info]

Lebiere, C., & Lee, F. J. (2001). Prospective memory: A computational account. In Proceedings of the Fourth International Conference on Cognitive Modeling, pp. 139-144. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Lebiere, C. & Lee, F. J. (2002). Prospective memory: A context-switching account. Journal of Cognitive Systems Research. Special Issue on top papers of ICCM-2001. [info]

Lebiere, C., & Shang, J. (2002). A cognitive architecture-based theory of meliorative behavior. In Proceedings of the 8th Behavioral Decision Research in Management Conference (BDRM). Chicago, IL. [info]

Lebiere, C. & Wallach, D. (2001). Sequence Learning in the ACT-R Cognitive Architecture: Empirical Analysis of a Hybrid Model. In R. Sun & C. L. Gilles (Eds.). Sequence Learning: Paradigms, Algorithms, and Applications (pp. 188-212). Berlin: Spinger Lecture Notes in Computer Science. [info]

Lebiere, C. & Wallach, D. (2002). Explicit or implicit learning? An integrative theory of sequence learning. In Proceedings of the 43rd conference of the German Psychological Association. [info]

Lebiere, C., Wallach, D. & Taatgen, N. (1998). Implicit and explicit learning in ACT-R. In F. Ritter & R. Young (Eds.). Cognitive Modeling II (pp. 183-193). Nottingham: Nottingham University Press. [] [info]

Lebiere, C., Wallach, D., & West, R. L. (2000). A memory-based account of the prisoner's dilemma and other 2x2 games. In Proceedings of International Conference on Cognitive Modeling, 185-193. NL: Universal Press. [] [info]

Lebiere, C., & West, R. L. (1999). A dynamic ACT-R model of simple games. In Proceedings of the Twenty-first Conference of the Cognitive Science Society, pp. 296-301. Mahwah, NJ: Erlbaum. [] [ACT-R 4.0 web-based simulation and model source code] [info]

Lee, F. J. (2000). Does learning of a complex task Have to be complex? A study in learning decomposition. Ph.D. Thesis, Carnegie Mellon University, Pittsburgh, PA. [info]

Lee, F. J. & Anderson, J. R. (1997). Learning to Act: Acquisition and optimization of procedural skill. In Proceedings of the 19th Annual Conference of the Cognitive Science Society, pp. 418-423. Mahwah, NJ: Erlbaum. [] [info]

Lee, F. J. & Anderson, J. R. (2000). Modeling eye-movements of skilled performance in a dynamic task. In Proceedings of the Third International Conference on Cognitive Modeling, pp. 194-201, University of Groningen, Netherlands. [] [info]

Lee, F. J. & Anderson, J. R. (2001). Does learning of a complex task have to be complex? A study in learning decomposition. Cognitive Psychology, 42(3), 267-316. [] [info]

Lee, F. J., Anderson, J. R. & Matessa, M. P. (1995). Components of Dynamic Skill Acquisition. In Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society (pp. 506-511). Hillsdale, NJ: Lawrence Erlbaum Associates. [] [info]

Lee, F. J. & Gamard, S. J. (2003) Hide and Seek: Using Computational Cognitive Models to Develop and Test Autonomous Cognitive Agents for Complex and Dynamic Tasks. In Proceedings of the 25th Annual Meeting of the Cognitive Science Society. pg 1372. [] [info]

Lee, F.J. & Taatgen, N.A. (2002). Multi-tasking as Skill Acquisition. Proceedings of the twenty-fourth annual conference of the cognitive science society (pp. 572-577). Mahwah, NJ: Erlbaum. Fairfax, VA: August, 2002. [] [info]

Lee, H. S., Betts, S. A. & Anderson, J. R. (2011). How can we design effective instructions to promote transfer? paper to be presented at the annual meetings of the Society for Research on Educational Effectiveness (SREE), September 8-11, 2011, Washington, D.C. [info]

Lenk, J. C., Möbus, C., Özyurt, J. Margarete, C., & Claassen, A. (2011). From fMRI Data To Cognitive Models: Testing the ACT-R Brain Mapping Hypothesis with an Ex-Post Model. In The Third International Conference on Advanced Cognitive Technologies and Applications (pp. 13-18). Rome, Italy. [HTML] [info]

Lenk, J.C., Möbus, C., Özyurt, J., Thiel, C.M., & Claassen, A. (2011). How to Assess ACT-R Models Predicting BOLD Curves for a Complex Problem, In J. Özyurt, A. Anschütz, S. Bernholt, J. Lenk (eds.), Interdisciplinary Perspectives on Cognition, Education and the Brain, Hanse Studies, Vol. 7, Hanse-Wissenschaftskolleg (HWK), (pp.219-228)Institute for Advanced Study, Oldenburg: BIS-Publisher. [info]

Lerch, F. J., Gonzalez, C., & Lebiere, C. (1999). Learning under high cognitive workload. In Proceedings of the Twenty-first Conference of the Cognitive Science Society, pp. 302-307. Mahwah, NJ: Erlbaum. [] [info]

Lewis, C. H. & Anderson, J. R. (1976). Interference with Real World Knowledge. Cognitive Psychology, 8, 311-335. [] [info]

Lewis, M. W., & Anderson, J. R. (1985). Discrimination of operator schemata in problem solving: Procedural learning from examples. Cognitive Psychology, 17, 26-65. [] [info]

Lewis, M. W., Milson, R., & Anderson, J. R. (1987). The teacher's apprentice: Designing an intelligent authoring system for high school mathematics. In G. P. Kearsley (Ed.), Artificial Intelligence and Instruction. Reading, MA: Addison-Wesley [] [info]

Lewis, R. L. (1999, March). Attachment without competition: A race-based model of ambiguity resolution in a limited working memory. Presented at the CUNY Sentence Processing Conference, New York. [info]

Lewis, R. L. (2006). The surprising nature of working memory in language comprehension: Insights from cognitive architectures and psycholinguistics. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 16-17). Trieste, Italy. [info]

Lewis, R. L. & Vasishth, S. (2005). A hypothesis about serial order information in parsing (that yields a novel explanation of center-embedding difficulty). Presented at City University of New York Sentencing Processing Conference, April 1, 2005, Tucson, AZ. [] [info]

Lewis, R. L. & Vasishth, S. (2005). An activation-based model of sentence processing as skilled memory retrieval. Cognitive Science, 29, 375-419. [] [info]

Lewis, R. L., Vasishth, S. and Van Dyke, J. A. (2006) Computational principles of working memory in sentence comprehension. Trends in Cognitive Science, 10, 447-454. [] [info]

Lindsey, R., Lewis, O., Pashler, H., & Mozer, M. (2010). Predicting Students' Retention of Facts from Feedback during Study. Poster presented at the 32nd Annual Conference of the Cognitive Science Society. Portland, OR. [] [info]

Lovett, M. C. (1998). Choice. In J. R. Anderson, & C. Lebiere (Eds.). The atomic components of thought, 255-296. Mahwah, NJ: Erlbaum. [] [info]

Lovett, M. C. (2001). Selective Attention and Strategies: Not Just Another Model of Stroop. In Proceedings of the Fourth International Conference on Cognitive Modeling, pp. 151-156. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Lovett, M. C. (2005) A strategy-based interpretation of Stroop. Cognitive Science, 29, 493-524. [] [info]

Lovett, M. C. & Anderson, J. R. (1994). The effects of solving related proofs on memory and transfer in geometry problem solving. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20(2), 366-378. [] [info]

Lovett, M. C. & Anderson, J. R. (1995). Making heads or tails out of selecting problem-solving strategies. In Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society (pp. 265-270). Hillsdale, NJ: Lawrence Erlbaum Associates. [] [info]

Lovett, M. C. & Anderson, J. R. (1996). History of success and current context in problem solving: Combined influences on operator selection. Cognitive Psychology, 31(2), 168-217. [] [info]

Lovett, M. C. & Anderson, J. R. (2005) Thinking as a production system. In K. Holyoak & R. Morrison (Eds.) Cambridge Handbook of Thinking and Reasoning (pp. 401-430). Cambridge University Press; NY. [] [info]

Lovett, M. C., Daily, L. Z., & Reder, L. M. (2000). A source activation theory of working memory: Cross-task prediction of performance in ACT-R. Cognitive Systems Research, 1, 99-118. [] [info]

Lovett, M. C., Reder, L. M., & Lebiere, C. (1997). Modeling individual differences in a digit working memory task. In Proceedings of the Nineteenth Conference of the Cognitive Science Society, pp. 460-465. Mahwah, NJ: Erlbaum. [] [info]

Lovett, M. C., Reder, L. M., & Lebiere, C. (1999). Modeling working memory in a unified architecture: An ACT-R perspective. In A. Miyake & P. Shah (Eds.) Models of Working Memory, pp. 135-182. Cambridge, MA: Cambridge. [] [info]

Lyon, D. R. & Gunzelmann, G. (2009). Visualizing egocentric path descriptions: A computational model. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 102), Manchester, United Kingdom. [] [info]

Lyon, D. R., Gunzelmann, G., & Gluck, K. A. (2004). Emulating a visuospatial memory field using ACT-R. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 368-369). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Lyon, D. R., Gunzelmann, G., & Gluck, K. A. (2005). Spatial visualization in two vs. three dimensions. In B. G. Bara, L. Barsalou, and M. Bucciarelli (Eds.), Proceedings of the Twenty-Seventh Annual Meeting of the Cognitive Science Society (p. 2519). Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Lyon, D. R., Gunzelmann, G., & Gluck, K. A. (2006). Key components of spatial visualization capacity. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 381-382). Trieste, Italy. [] [info]

Lyon, D. R., Gunzelmann, G., & Gluck, K. A. (2006). Virtual travel does not enhance spatial working memory for landmark-free paths. In R.Sun & N Miyake (Eds.), Proceedings of the Twenty-Eighth Annual Meeting of the Cognitive Science Society (p. 2550). Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Lyon, D. R., Gunzelmann, G., & Gluck, K. A. (2007). Visualizing egocentric vs. exocentric path descriptions. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA. [] [info]

Lyon, D. R., Gunzelmann, G., & Gluck, K. A. (2008). A computational model of spatial visualization capacity. Cognitive Psychology, 57, 122-152. [] [info]

MacLaren, B. & Koedinger, K. R. (2002). Instructional experiments with ACT-R "SimStudents". In S.A. Cerri, G. Gouarderes, & F. Paraguacu (Eds.), Proceedings of the 6th International Conference on Intelligent Tutoring Systems, 355-356. Berlin: Springer-Verlag. [] [info]

MacWhinney, B., & Anderson, J. R. (1985). The acquisition of grammar. In E. Gopnik (Ed.), McGill Studies in Cognitive Science, Norwood, NJ: Ablex. [] [info]

Marewski, J. N., Gaissmaier, W., Schooler, L. J., Goldstein, D. G., & Gigerenzer, G. (2010). From Recognition to Decisions: Extending and Testing Recognition-Based Models for Multi-Alternative Inference. Psychonomic Bulletin & Review, 17, 287-309. [] [info]

Marewski, J. N., & Mehlhorn, K. (2011). Using the ACT-R architecture to specify 39 quantitative process models of decision making. Judgment and Decision Making, 6, 439-519. [] [info]

Marewski, J. N., & Olsson, H. (2009). Beyond the null ritual: Formal modeling of psychological processes. Zeitschrift für Psychologie/Journal of Psychology, 217, 49-60. [] [info]

Marewski, J. N. & Olsson, H. (2009). Beyond the Nul Ritual: Formal modeling of pscyhological processes. Zeitschrift für Psychologie / Journal of Psychology, 217(1), 49–60. [info]

Marewski, J. N., Pohl, R.F., & Vitouch, O. (2011). Recognition-based judgments and decisions: What we have learned (so far). Judgment and Decision Making, 6, 359-380. [] [info]

Marewski, J. N., & Schooler, L. J. (2011). Cognitive Niches: An ecological model of strategy selection. Psychological Review, 118, 393-437. [HTML] [info]

Martin, M. K., Gonzalez, C., Lebiere, C. (2004). Learning to make decisions in dynamic environments: ACT-R Plays the beer game. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 178-183). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Matessa, M. (2001). Interactive models of collaborative communication. In Proceedings of the Twenty-third Annual Conference of the Cognitive Science Society (pp. 634-638). Hillsdale, NJ: Lawrence Erlbaum Associates. [] [info]

Matessa, M. (2001). Simulating adaptive communication. Ph.D. Thesis, Carnegie Mellon University, Pittsburgh, PA. [info]

Matessa, M. (2004) An ACT-R modeling framework for interleving templates of human behavior. In proceedings of the 26th Annual Conference of the Cognitive Science Society (pp. 903-908) . August 4-7, Chicago, USA [] [info]

Matessa, M. (2010). An ACT-R List Learning Representation for Training Prediction. Poster presented at the 32nd Annual Conference of the Cognitive Science Society. Portland, OR. [] [info]

Matessa, M. & Anderson, J. R. (1997). Focused Learning in a Linguistic Environment. In Proceedings of the 19th Annual Conference of the Cognitive Science Society, p. 990. Mahwah, NJ: Erlbaum. [] [info]

Matessa, M. & Anderson, J. R. (2000). An ACT-R model of adaptive communication. In Proceedings of the Third International Conference on Cognitive Modeling, pp. 210-217, University of Groningen, Netherlands. [] [info]

Matessa, M., & Anderson, J. R. (2000). Modelling Focused Learning in Role Assignment. Language and Cognitive Processes, 15 (3), 263-292. [] [ACT-R 4.0 web-based simulations and models source code] [info]

Matessa, M. P. (2004). Anticipatory eye movements in interleaving templates of human behavior. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 184-189). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Matessa, M. P., Archer, R., & Mui, R. (2007). Dynamic spatial reasoning capability in a graphical interface evaluation tool. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Matessa, M. P. (unpublished). Communication in collaborative problem solving. [ACT-R 4.0 model source code] [info]

Mathan, S. A. & Koedinger, K. R. (2005) Fostering the Intelligent Novice: Learning from Errors with Metacognitive Tutoring. Educational Psychologist 40(4), 257-265. [] [info]

McKendree, J. E., & Anderson, J. R. (1987). Frequency and practice effects on the composition of knowledge in LISP evaluation. In J. M. Carroll (Ed.), Cognitive Aspects of Human-Computer Interaction. Cambridge, Mass.: MIT Press. [] [info]

McKendree, J., Reiser, B. J., & Anderson, J. R. (1984). Tutorial goals and strategies in the instruction of programming skills. In Proceedings of the Sixth Annual Cognitive Science Meetings, 252-254. [] [info]

Mckenzie-Kerr, A. & Macken, W. J. (2006). Metamemory in strategy selection: Evidence for a dissocaition in familiarity-based judgments between In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 1806-1810) . Vancouver, British Columbia, Canada. [] [info]

Mehlhorn, K. & Marewski, J. N. (2011). Racing for the city: The recognition heuristic and compensatory alternatives. In L. Carlson, C. Hölscher, & T. Shipley (Eds.), Proceedings of the 33st Annual Conference of the Cognitive Science Society (pp. 360-365). Austin, TX: Cognitive Science Society. [] [info]

Mehlhorn, K., & Marewski, J. N. (2011). Using a cognitive architecture to specify and test process models of decision making. Proceedings of the Interdisciplinary Workshop on Cognitive Neuroscience, Educational Research and Cognitive Modeling. Delmenhorst, Germany. [info]

Milson, R., Lewis, M. W., and Anderson, J. R. (1990). The TEACHER'S APPRENTICE: Building an algebra tutor (pp.53-71). In R. Freedle (Ed.), Artificial Intelligence and the Future of Testing. Hillsdale, NJ: Erlbaum. [info]

Misker, J. M. V. & Anderson, J. R. (2003). Combining optimality theory and a cognitive architecture. In Proceedings of the Fifth International Conference on Cognitive Modeling, 165-170, Bamberg, Germany [] [info]

Misker, J., Taatgen, N. A., & Aasman, J. (2001). Validating a tool for simulating user interaction. In Proceedings of the Fourth International Conference on Cognitive Modeling, pp. 163-168. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Möbus, C., Lenk, J. C., Claassen, A., Özyurt, J., & Thiel, C. (2010). Checking the Brain Mapping Hypothesis: Predicting and Validating BOLD Curves for a Complex Task Using ACT-R. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 163-168). Philadelphia, PA: Drexel University. [] [info]

Möbus, C., Lenk, J. C., Özyurt, J., Thiel, C. M., & Claassen, A. (2011). Checking the ACT-R/Brain Mapping Hypothesis with a complex task: Using fMRI and Bayesian identification in a multi-dimensional strategy space. Cognitive Systems Research, In Press, Date accepted 24 Nov. 2010, Corrected Proof, available online 6 Jan 2011, ISSN 1389-0417, DOI: 10.1016/j.cogsys.2011.01.001, http://dx.doi.org/10.1016/j.cogsys.2011.01.001 [info]

Moon. M. J. & Fu, W.-T.(2010). Adaptive Information Indexing in Re-finding Information. Poster presented at the 32nd Annual Conference of the Cognitive Science Society. Portland, OR. [] [info]

Moore, L. R., Gunzelmann, G., & Brown, J. W. (2010). Modeling statistical learning and response inhibition with the change signal task. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 169-174). Philadelphia, PA: Drexel University. [] [info]

Müller, B. & Schoppek, W. (2003). Acquisition and use of mental operators: Multinomial modeling versus ACT-R. In F. Schmalhofer, R.M. Young, & G. Katz (Eds.), Proceedings of EuroCogSci 03 (pp 241-246). Mahwah, NJ: Erlbaum. [] [info]

Murdock, J. W. , Simina, M., Davies, J., & Shippey, G. (1998). Modeling Invention by Analogy in ACT-R. In Proceedings of the Twentieth Annual Conference of the Cognitive Science Society (pp. 740-745). Mawhaw, NJ: Lawrence Erlbaum Associates. [ACT-R model source code and postscript paper] [info]

Myers, C., Gluck, K. A., Gunzelmann, G., & Krusmark, M. (2010). Validating computational cognitive process models across multiple timescales. Journal of Artificial General Intelligence, 2(2), 108-127. [] [info]

Najjar, M. & Mayers, A. (2006). Retrieving remembrances via a computational cognitive model of knowledge represenation. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 1868-1869) . Vancouver, British Columbia, Canada. [] [info]

Napoli, A. & Fum, D. (2009). Applying Occam's razor to paper (and rock and scissors, too): Why simpler models are sometimes better. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 203), Manchester, United Kingdom. [] [info]

Napoli, A. & Fum, D. (2010). Mentalizing in games: A subtractive behavioral study of Prisoner's Dilemma. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 338-343). Austin, TX: Cognitive Science Society. [] [info]

Napoli, A. & Fum, D. (2010). Rewards and punishments in iterated decision making: An explanation for the frequency of the contingent event effect. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 175-180). Philadelphia, PA: Drexel University. [] [info]

Nellen, S. (2003). The use of the "Take-the-Best" heuristic under different conditions, modeled with ACT-R. In: F. Detje, D Doerner and H. Schaub (eds.), Proceedings of the fifth international conference on cognitive modeling (pp. 171-176). Bamberg: Universitaetsverlag Bamberg [] [info]

Nellen, S. & Lovett, M. C. (2004). Towards a theory of balancing exploration and exploitation in probabilistic environments. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 214-219). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Neves, D. M., & Anderson, J. R. (1981). Knowledge compilation: Mechanisms for the automatization of cognitive skills. In J. R. Anderson (Ed.), Cognitive skills and their acquisition. Hillsdale, NJ: Erlbaum. [] [info]

Nguyen, T. M. & Salvucci, D. D. (2006). Piano Playing: A model of sight-reading and rhythmic timing. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 208-212). Trieste, Italy. [] [info]

Oliva, J., Serrano, J. S., Del Castillo, M. A., & Iglesias, Á. (2010). Cognitive modeling of the acquisition of a highly inflected verbal system. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 181-186). Philadelphia, PA: Drexel University. [] [info]

Paik, J. (2010). Exploring a Novel Training Paradigm for Knowledge and Skills Acquisition. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 319-320). Philadelphia, PA: Drexel University. [] [info]

Paik, J., Kim, J. W., & Ritter, F. E. (2009). A preliminary ACT-R Compiler in Herbal. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 117), Manchester, United Kingdom. [] [info]

Paik, J., Kim, J. W., Ritter, F. E., Morgan, J. H., Haynes, S. R., & Cohen, M. A. (2010). Building large learning models with Herbal. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of ICCM Tenth International Conference on Cognitive Modeling (pp. 187-191). Philadelphia, PA. [][100 runs of each model] [info]

Pape, N., Dzaack, J., Leuchter,S. & Urbas, L. (2005). How to integrate time-duration estimation in ACT-R/PM. In Proceedings of the 12th Annual ACT-R Workshop, Trieste, Italy. [] [info]

Pape, N., & Urbas, L. (2008). A Model of Time-Estimation Considering Working Memory Demands. In Proceedings of the 30th Annual Cognitive Science Society (pp. 1543-1548). Austin, TX: Cognitive Science Society. [] [info]

Pape, N., & Urbas, L. (2009). Testing a Quantitative Model of Time Estimation in a Load Switch Scenario. In A. Howes, D. Peebles, R. Cooper (Eds.), 9th International Conference on Cognitive Modeling -- ICCM, Manchester, UK. [] [info]

Pape, N. & Urbas, L. (2009). Testing a quantitative model of time estimation in a load-switch scenario. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 214), Manchester, United Kingdom. [] [info]

Pavlik, P.I. & Anderson, J. R. (2008). Using a model to compute the optimal schedule of practice. Journal of Experimental Psychology: Applied, 14, 101-117. [] [info]

Pavlik, P. I., Jr., & Anderson, J. R. (2002). Mental rotation transfer. Poster presented the 24th Annual Meeting of the Cognitive Science Society, Fairfax, VA August 2002. [] [info]

Pavlik, P. I., Jr., & Anderson, J. R. (2003). An ACT-R model of the spacing effect. In F. Detje, D. Doerner, & H. Schaub (Eds.), In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 177-182). Bamberg, Germany: Universitats-Verlag Bamberg. [] [info]

Pavlik, P. I., Jr., & Anderson, J. R. (2004). An ACT-R model of memory applied to finding the optimal schedule of practice. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 376-377). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Pavlik, P. I., Jr., & Anderson, J. R. ( 2005). Practice and forgetting effects on vocabulary memory: An activation-based model of the spacing effect. Cognitive Science, 29, 559-586. [][Model and Sequence Files] [info]

Pavlik, P. I., Jr., Presson, N., Dozzi, G., Wu, S.-M., MacWhinney, B., & Koedinger, K. (2007). The FaCT (fact and concept) system: A new tool linking cognitive science with educators. In proceedings of the 29th Annual Conference of the Cognitive Science Society. Nashville, TN, USA. [] [info]

Pavlik, P. I., Jr., Presson, N., & Koedinger, K. R. (2007). Optimizing knowledge component learning using a dynamic structural model of practice. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Peebles, D. & Banks, A. (2010). Modelling dynamic decision making with the ACT-R cognitive architecture. Journal of Artificial General Intelligence, 2(5), 52-68. [] [info]

Peebles, D. & Bothell, D. (2004). Modelling performance in the sustained attention to response task. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 231-236). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Peebles, D, & Cheng, P. C.-H., (2001) Extending task analytic models of graph-based reasoning: A cognitive model of problem solving with Cartesian graphs in ACT-R/PM. In Proceedings of the Fourth International Conference on Cognitive Modeling, pp. 169-174. Mahwah, NJ: Lawrence Erlbaum Associates. [] [HTML] [info]

Peebles, D. & Cheng, P. C.-H. (2002). Extending task analytic models of graph-based reasoning: A cognitive model of problem solving with Cartesian graphs in ACT-R/PM. Cognitive Systems Research, 3, 77-86. [] [info]

Peebles, D., & Cheng, P. C.-H. (2003). Modeling the effect of task and graphical representation on response latency in a graph reading task. Human Factors, 45, 28-46. [] [info]

Peebles, D. J. & Cox, A. L. (2006). Modelling Interactive Behaviour with a Rational Cognitive Architecture. In P. Zaphiris & S. Kurniawan (Eds.). Human Computer Interaction Research in Web Design and Evaluation. London. Idea Group Inc. [] [info]

Peterson, S. & Simon, T. J. (2000) Computational evidence for the subitizing phenomenon as an emergent property of the human cognitive architecture. Cognitive Science, 24, 93-122. [] [info]

Petrov, A. (2001). Fitting the ANCHOR model to individual data: A case study in Bayesian methodology. In Proceedings of the 2001 International Conference on Cognitive Modeling, pp. 174-180. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Petrov, A. A. (2003). Additive or multiplicative perceptual noise? Two equivalent forms of the ANCHOR model. In R. Alterman & D. Kirsh (Eds.), Proceedings of the 25th Annual Conference of the Cognitive Science Society. Hillsdale, NJ: LEA [] [info]

Petrov, A. A. (2006). Computationally efficient approximation of the base-level learning equation in ACT-R. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 391-392). Trieste, Italy. [] [info]

Petrov, A. & Anderson, J. R. (2000). ANCHOR: A memory-based model of category rating. In Proceedings of the Twenty-Second Annual Conference of the Cognitive Science Society (pp. 369-374). [] [info]

Petrov, A. & Anderson, J. R. (2005). The dynamics of scaling: A memory-based anchor model of category rating and absolute identification. Psychological Review 112,(2) 383-416. [] [HTML] [Matlab ANCHOR model] [info]

Petrov, A. (in press). Category rating is based on prototypes and not instances: Evidence from feedback-dependent context effects. Journal of Experimental Psychology: Human Perception and Performance. [HTML] [info]

Pirolli, P. (1997). Computational models of information scent-following in a very large browsable text collection. In Proceedings of the Conference on Human Factors in Computing, CHI 1997 (pp. 3-10). New York: ACM. [] [info]

Pirolli, P. (2005) Rational analyses of information foraging on the web. Cognitive Science, 29, 343-373. [] [info]

Pirolli, P. L. (2004). The Use of Proximal Information Scent to Forage for Distal Content on the World Wide Web. In Alex Kirlik (Ed.) Working with Technology in Mind: Brunswikian Resources for Cognitive Science and Engineering. New York, NY: Oxford University Press. [] [info]

Pirolli, P. L., & Anderson, J. R. (1985). The acquisition of skill in the domain of programming recursion. Canadian Journal of Psychology, 39, 240-272. [] [info]

Pirolli, P. L., & Anderson, J. R. (1985). The role of practice in fact retrieval. Journal of Experimental Psychology: Learning, Memory, & Cognition, 11, 136-153. [] [info]

Pirolli, P. L., Anderson, J. R., & Farrell, R. (1984). Learning to program recursion. In Proceedings of the Sixth Annual Cognitive Science Meetings, 277-280. [] [info]

Pirolli, P.L., & Card, S. K. (1999). Information foraging. Psychological Review, 106, 643-675. [] [info]

Pirolli, P. L. & Fu, W-T. (2003)SNIF-ACT: A Model of Information Foraging on the World Wide Web. Ninth International Conference on User Modeling, Johnstown, PA . [] [info]

Pirolli, P.L., Fu, W-T., Reeder, R., & Card, S. K. (2002) A User-Tracing Architecture for Modeling Interaction with the World Wide Web. Presented at Advanced Visual Interfaces (AVI 2002), May22-24, Trento Italy. [] [info]

Purtee, M. D., Krusmark, M. A., Gluck, K. A., Kotte, S. A., & Lefebvre, A. T. (2003). Verbal protocol analysis for validation of UAV operator model. In Proceedings of the 25th Interservice/Industry Training, Simulation, and Education Conference. 1741-1750. Orlando, FL: National Defense Industrial Association. [] [info]

Pyke, A., West, R., & LeFevre, J. (2007). How readers retrieve referents for nouns in real time: A memory-based model of context effects. In proceedings of the 8th International Conference on Cognitive Modeling Ann Arbor, Michigan, USA. [] [info]

Pyke, A., West, R. L., & LeFevre, J. (2007). On-line reference assignment for anaphoric and non-anaphoric nouns: A unified, memory-based model in ACT-R. In proceedings of the 29th Annual Conference of the Cognitive Science Society. Nashville, TN, USA. [] [info]

Qin, Y., Bothell, D., & Anderson, J. R. (2007). ACT-R meets fMRI. In Proceedings of LNAI 4845 (pp.. 205-222). Berlin, Germany: Springer-Verlag. [] [info]

Qin, Y., Carter, C. S., Silk, E., Stenger, V. A., Fissell, K., Goode, A. & Anderson, J.R. (2004). The change of the brain activation patterns as children learn algebra equation solving. Proceedings of National Academy of Sciences,101(15), 5686-5691. [] [info]

Qin, Y., Sohn, M-H, Anderson, J. R., Stenger, V. A., Fissell, K., Goode, A. Carter, C. S. (2003). Predicting the practice effects on the blood oxygenation level-dependent (BOLD) function of fMRI in a symbolic manipulation task. Proceedings of the National Academy of Sciences of the United States of America. 100(8): 4951-4956. [] [info]

Ragni, M., Fangmeier, T., & Brüssow, S. (2010). Deductive spatial reasoning: From neurological evidence to a cognitive model. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 193-198). Philadelphia, PA: Drexel University. [] [info]

Raufaste, E. (2006). Air Traffic Control in ACT-R: a Computational Model of Conflict Detection Between Planes. In Proceedings of the International Conference on Human-Computer Interaction in Aeronautics (HCI-Aero'06) (pp. 258-259). Seattle, USA. [info]

Ravizza, S. M., Anderson, J. R., & Carter, C. S. (2008). Errors of mathematical processing: The relationship of accuracy to neural regions associated with retrieval or representation of the problem state. Brain Research, 1238, 118-126. [] [info]

Ravizza, S. M., Anderson, J. R., & Carter, C. S. (submitted). Errors of mathematical processing: The relationship of accuracy to neural regions associated with retrieval or representation of the problem state. Brain Research. [info]

Reber, A. S. & Anderson, J. R. (1970). The perception of clicks in linguistic and non-linguistic messages. Perception and Psychophysics, 8, 81-89. [info]

Reder, L. M. & Anderson, J. R. (1980a). A comparison of texts and their summaries: memorial consequences. Journal of Verbal Learning and Verbal Behavior, 198, 121-134. [] [info]

Reder, L. M. & Anderson, J. R. (1980b). A partial resolution of the paradox of interference: the role of integrating knowledge. Cognitive Psychology, 12, 447-472. [] [info]

Reder, L. M., & Anderson, J. R. (1982). Effects of spacing and embellishments on memory for the main points of a text. Memory and Cognition, 10, 97-102. [] [info]

Reder, L. M., Anderson, J. R., & Bjork, R. A. (1974). A semantic interpretation of encoding specificity. Journal of Experimental Psychology: Human Learning and Memory, 4, 648-656. [] [info]

Reder, L. M., Oates, J. M., Dickison, D., Anderson, J. R., Gyulai, F., Quinlan, J. J., Ferris, J. L., Dulik, M., & Jefferson, B. (2007a). Retrograde faciliation under midazolam: The role of general and specific interference. Psychonomic Bulletin & Review, 14(2), 261-269. [] [info]

Reder, L. M., Proctor, I., Anderson, J. R., Gyulai, F., Quinlan, J. J., & Oates, J. M. (2006). Midazolam does not inhibit association formation, just its storage and strengthening. Psychopharmacology, 188, 462-471. [info]

Rehling, J., Demiral, B., Lebiere, C., Lovett, M., & Reder, L. M. (2003). Modeling individual difference factors in a complex task environment. In F. Detje, D. Doerner, & H. Schaub (Eds.), In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 287-288). Bamberg, Germany: Universitats-Verlag Bamberg. [] [info]

Rehling, J., Lovett, M., Lebiere, C., Reder, L. M., & Demiral, B. (2004) Modeling complex tasks: An individual difference approach. In proceedings of the 26th Annual Conference of the Cognitive Science Society (pp. 1137-1142) . August 4-7, Chicago, USA [] [info]

Reifers, A. L., Schenck, I. N., & Ritter, F. E. (2005). Modeling pre-attentive visual search in ACT-R. In B. Bara, L. Barsalou & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Reiser, B. J., Anderson, J. R., & Farrell, R. G. (1985). Dynamic student modelling in an intelligent tutor for LISP programming. In Proceedings of IJCAI, 8-14. [] [info]

Reitter, D. (2008). Context Effects in Language Production: Models of Syntactic Priming in Dialogue Corpora. Doctoral Dissertation, School of Informatics, University of Edinburgh, UK. [] [info]

Reitter, D. (2010). Metacognition and multiple strategies in a cognitive model of online control. Journal of Artificial General Intelligence, 2(2), 20-37. [] [info]

Reitter, D., Juvina, I., Stocco, A., & Lebiere, C. (2010). Resistance is futile: Winning lemonade market share through metacognitive reasoning in a three-agent cooperative game. In Proceedings of the 19th Conference on Behavioral Representation in Modeling and Simulation (BRIMS). Charleston, S.C. [] [info]

Reitter, D., Keller, F., Moore, J. D. (2011).A computational cognitive model of syntactic priming.Cognitive Science, 35(4), 587-637. [info]

Reitter, D.& Lebiere, C. (2001). Towards cognitive models of communication and group intelligence. In Proceedings of the 33rd Annual Meeting of the Cognitive Science Society (pp.734-739). Boston, MA, July 2011. [] [info]

Reitter, D. & Lebiere, C. (2009). Towards explaining the evolution of domain languages with cognitive simulation. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 176), Manchester, United Kingdom. [] [info]

Reitter, D. & Lebiere, C. (2010). Accountable modeling in ACT-UP, a sclable, rapid-prototyping ACT-R implementation. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 199-204). Philadelphia, PA: Drexel University. [] [info]

Reitter, D. & Lebiere, C. (2010). A cognitive model of spatial path planning. Computational and Mathematical Organization Theory, 16(3):220-245. [] [info]

Reitter, D. & Lebiere, C. (2011). How groups develop a specialized domain vocabulary: A cognitive multi-agent model. Cognitive Systems Research, 12, 175-185. [] [info]

Ritter, F. E. (2004). Choosing and getting started with a cognitive architecture to test and use human-machine interfaces. MMI-Interaktiv-Journal's special issue on Modeling and Simulation in Human-Machine Systems, 7. 17-37. [] [info]

Ritter, F. E., Avraamides, M., & Councill, I. G. (2002). An approach for accurately modeling the effects of behavior moderators. In Proceedings of the 11th Computer Generated Forces Conference. 29-40, 02-CGF-002. Orlando, FL: U. of Central Florida. [] [info]

Ritter, F. E., Baxter, G. D., Jones, G., & Young, R. M. (2000). Supporting cognitive models as users. ACM Transactions on Computer-Human Interaction, 7(2), 1-33. [] [info]

Ritter, F. E., Baxter, G. D., Jones, G., & Young, R. M. (2001). User interface evaluation: How cognitive models can help. In J. Carroll (Ed.), Human-computer interaction in the new millennium. 125-147. Reading, MA: Addison-Wesley. [] [info]

Ritter, F. E., Belavkin, R. V., & Elliman, D. G. (1999a). Affective Computing: The role of emotion in human-computer interaction. In A. Monk, A. Sasse, & A.Crerar (Eds.) Proceedings of the British HCI Group one-day meeting in conjunction with University College London. [info]

Ritter, F. E., Haynes, S. R., Cohen, M., Howes, A., John, B., Best, B. J., Lebiere, C., Jones, R. M., Crossman, J., Lewis, R. L., St. Amant, R., McBride, S. P., Urbas, L., Leuchter, S., & Vera, A. (2006). High-level behavior represenation languages revisited. Symposium at Trieste:Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 404-407). Trieste, Italy. [] [info]

Ritter, F. E., Kukreja, U., & St. Amant, R. (2007). Including a model of visual processing with a cognitive architecture to model a simple teleoperation task. Journal of Cognitive Engineering and Decision Making, 1(2), 121-147. [] [info]

Ritter, F. E. & Norling, E. (2006) Including Human Variability in a Cognitive Architecture to Improve Team Simulation. In R. Sun (ed.) Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press; New York, NY, 417-427. [] [info]

Ritter, F. E., Reifers, A., Klein, L. C., Quigley, K., & Schoelles, M. (2004). Using cognitive modeling to study behavior moderations: Pre-task appraisal and anxiety. In Proceedings of the Human factors and Ergonomics Society (pp. 2121-2125). Santa Monica, CA: Human Factor and Ergonomics Society. [] [info]

Ritter, F. E., Reifers, A. L., Klein, A. C., & Schoelles, M. J. (2006). Lessons from defining theories of stress. In W. Gray (Ed.) Integrated Models of Cognitive Systems. New York, NY: Oxford University Press. [] [info]

Ritter, F. E., Schoelles, M., Klein, L. C., & Kase, S. E. (2007). Modeling the range of performance on the serial subtraction task. In Proceedings of the 8th International Conference on Cognitive Modeling. Lewis, R. L., Polk, T. A., Laird, J. L., (eds.). 299-304. Oxford, UK: Taylor & Francis/Psychology Press. [info]

Ritter, F.E., & Schooler, L. J. (2001). The learning curve.  In W. Kintch, N. Smelser, P. Baltes, (Eds.), International Encyclopedia of the Social and Behavioral Sciences. Oxford, UK: Pergamon. [] [info]

Ritter, F. E., van Rooy, D., St. Amant, R., & Simpson, K. (2006). Providing user models direct access to interfaces: An exploratory study of a simple interface with implications for HRI and HCI. IEEE Transactions on Systems, Man, and Cybernetics: Part A, Systems and Humans, 36(3), 592-601. [] [info]

Ritter, F. E., & Wallach, D. P. (1998). Models of two-person games in ACT-R and Soar. In Proceedings of the Second European Conference on Cognitive Modelling. 202-203. Thrumpton: Nottingham University Press. [] [info]

Ritter, F. E., & Young, R. M. (2001). Embodied models as simulated users: Introduction to this special issue on using cognitive models to improve interface design. International Journal of Human-Computer Studies, 55, 1-14. [] [info]

Ritter, S. & Anderson, J. R. (1995). Calculation and strategy in the equation solving tutor. In Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society (pp. 413-418). Hillsdale, NJ: Lawrence Erlbaum Associates. [] [info]

Ritter, S., Anderson, J. R., Cytrynowicz, M., & Medvedeva, O. (1998) Authoring Content in the PAT Algebra Tutor. Journal of Interactive Media in Education, 98 (9). [] [HTML] [info]

Ritter, S., Anderson, J. R., Koedinger, K. R., & Corbett, A. (2007) Cognitive Tutor: Applied research in mathematics education. Psychonomic Bulletin & Review, 14, 249-255. [] [info]

Rittle-Johnson, B. & Koedinger, K. R. (2001). Using cognitive models to guide instructional design: The case of fraction division. In Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society, (pp. 857-862). Mahwah, NJ: Erlbaum. [] [info]

Roll, I., Baker, R. S., Aleven, V., & Koedinger, K. (2004). A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems. In Proceedings the Seventh International Conference of Intelligent Tutoring Systems (pp. 854-856) Lecture Notes in Computer Science 3220. Berlin: Springer Verlag. [] [info]

Roll, I., Baker, R. S., Aleven, V., & Koedinger, K. (2004). What goals do students have when choosing the actions they perform? In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 380-381). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Rosenberg-Lee, M., Lovett, M., & Anderson, J. R. (2008). Strategy variation in multi-digit mental multiplication: fMRI, behavioral and modeling perspectives. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA, p. 72. [info]

Rosenberg-Lee, M., Lovett, M., & Anderson, J. R. (2009). Neural correlates of arithmetic calculation strategies. Cognitive, Affective, & Behavioral Neuroscience, 9(3), 270-285. [] [Document][Model] [info]

Rosenbloom, P. S. (2010). Combining procedural and declarative knowledge in a graphical architecture. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 205-2010). Philadelphia, PA: Drexel University. [] [info]

Ross, B. H., & Anderson, J. R. (1981). A test of parallel versus serial processing applied to memory retrieval. Journal of Mathematical Psychology, 24, 183-223. [info]

Salvucci, D. D. (1999). Mapping eye movements to cognitive processes. Doctoral Dissertation, Department of Computer Science, Carnegie Mellon University. [] [info]

Salvucci, D. D. (2000). A model of eye movements and visual attention. In Proceedings of the International Conference on Cognitive Modeling (pp. 252-259). Veenendaal, The Netherlands: Universal Press. [] [info]

Salvucci, D. D. (2001). An integrated model of eye movements and visual encoding. Cognitive Systems Research, 1(4), 201-220. [] [info]

Salvucci, D. D. (2001). Predicting the effects of in-car interfaces on driver behavior using a cognitive architecture. In Human Factors in Computing Systems: CHI 2001 Conference Proceedings (pp. 120-127). New York: ACM Press. [] [info]

Salvucci, D.D. (2002). Modeling driver distraction from cognitive tasks. In Proceedings of the 24th Annual Conference of the Cognitive Science Society (pp. 792-797). Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Salvucci, D. D. (2005) A multitasking general executive for compound continuous tasks. Cognitive Science, 29, 457-492. [] [info]

Salvucci, D. D. (2005). Modeling tools for predicting driver distraction. In Proceedings of the Human Factors and Ergonomics Society 49th Annual Meeting. Santa Monica, CA: Human Factors and Ergonomics Society. [] [info]

Salvucci, D. D. (2006). Modeling driver behavior in a cognitive architecture. Human Factors, 48, 362-380. [] [info]

Salvucci, D. D. & Anderson, J. R. (1998). Tracing eye movement protocols with cognitive process models. In Proceedings of the Twentieth Annual Conference of the Cognitive Science Society, pp. 923-928. Hillsdale, NJ: Erlbaum. [] [info]

Salvucci, D. D., & Anderson, J. R. (2000). Intelligent gaze-added interfaces. In Human Factors in Computing Systems: CHI 2000 Conference Proceedings (pp. 273-280). New York: ACM Press. [] [info]

Salvucci, D. D., & Anderson, J. R. (2001). Automated eye-movement protocol analysis. Human-Computer Interaction, 16, 39-86. [] [info]

Salvucci, D. D., & Anderson, J. R. (2001). Integrating analogical mapping and general problem solving: The path-mapping theory. Cognitive Science, 25, 67-110. [] [ACT-R 4.0 web-based simulations and models source code] [info]

Salvucci, D. D., Anderson, J. R. & Douglass, S. (1997). Encoding and response strategies in complex skill acquisition. In Proceedings of the 19th Annual Conference of the Cognitive Science Society, pp. 1030. Mahwah, NJ: Erlbaum. [] [info]

Salvucci, D. D., Boer, E. R., & Liu, A. (2001). Toward an integrated model of driver behavior in a cognitive architecture. Transportation Research Record, No. 1779. [] [info]

Salvucci, D. D., Chavez, A. K., & Lee, F. J. (2004) Modeling effects of age in complex tasks: A case study in driving. In proceedings of the 26th Annual Conference of the Cognitive Science Society (pp. 1197-1202) . August 4-7, Chicago, USA [] [info]

Salvucci, D. D. (in press). Modeling driver behavior in a cognitive architecture. Human Factors. [info]

Salvucci, D. D., Kushleyeva, Y., & Lee, F. J. (2004). Toward an ACT-R general executive for human multitasking. In Proceedings of the Sixth International Conference on Cognitive Modeling. [] [info]

Salvucci, D.D., & Lee, F. J. (2003). Simple cognitive modeling in a complex cognitive architecture. In Human Factors in Computing Systems: CHI 2003 Conference Proceedings (pp. 265-272). New York: ACM Press. [HTML] [info]

Salvucci, D. D., & Macuga, K. L. (2001). Predicting the effects of cellular-phone dialing on driver performance. In Proceedings of the Fourth International Conference on Cognitive Modeling, pp. 25-32. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Salvucci, D.D., & Macuga, K. L. (2002). Predicting the effects of cellular-phone dialing on driver performance. Cognitive Systems Research, 3, 95-102. [HTML] [info]

Salvucci, D.D., & Siedlecki, T. (2003). Toward a unified framework for tracking cognitive processes. In Proceedings of the 25th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates. [HTML] [info]

Salvucci, D. D. & Taatgen, N. A. (2007). An integrated approach to modeling concurrent multitasking. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA. [] [info]

Salvucci, D.D., Taatgen, N.A., & Borst, J.P. (2009). Toward a Unified Theory of the Multitasking Continuum: From Concurrent Performance to Task Switching, Interruption, and Resumption. In Human Factors in Computing Systems: CHI 2009 Conference Proceedings (pp. 1819-1828). New York: ACM Press. [] [info]

Salvucci, D. D., & Taatgen, N. A. (in press). Threaded cognition: An integrated theory of concurrent multitasking. Psychological Review. [] [info]

Salvucci, D. D., Taatgen, N. A., & Kushleyeva, Y. (2006). Learning when to switch tasks in a dynamic multitasking environment. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 268-273). Trieste, Italy. [] [info]

Salvucci, D. D., Zuber, M., Beregovaia, E., & Markley, D. (2005). Distract-R: Rapid prototyping and evaluation of in-vehicle interfaces. In Human Factors in Computing Systems: CHI 2005 Conference Proceedings (pp. 581-589). New York: ACM Press. [] [info]

Sanner, S., Anderson, J. R., Lebiere, C., & Lovett, M. (2000). Achieving efficient and cognitively plausible learning in backgammon. In Proceedings of the Seventeenth International Conference on Machine Learning (pp. 823-830). San Francisco: Morgan Kaufmann. [] [info]

Schaffer, S. (2010). Modeling of Modality Selection in Multimodal Human-Computer Interaction. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 321-322). Philadelphia, PA: Drexel University. [] [info]

Schneider, D. W., & Anderson, J. R. (2010). Asymmetric switch costs as sequential difficulty effects. Quarterly Journal of Experimental Psychology, 63, 1873–1894. [] [info]

Schneider, D. W., & Anderson, J. R. (2011). A memory-based model of Hick’s law. Cognitive Psychology, 62, 193–222. [][Memory-Based Model Fits] [info]

Schneider, D. W., & Anderson, J. R. (2012). Modeling fan effects on the time course of associative recognition. Cognitive Psychology, 64, 127-160. [][Model] [info]

Schoelles, M. J. & Gravy, W. D. (2003). Top-down versus bottom-up control of cognition in a task switching paradigm. In F. Detje, D. Doerner, & H. Schaub (Eds.), In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 295-296). Bamberg, Germany: Universitats-Verlag Bamberg. [] [info]

Schoelles, M. J., & Gray, W. D. (2000). Argus Prime: Modeling emergent microstrategies in a complex simulated task environment. In N. Taatgen, & J. Aasman (Eds.), Proceedings of the Third International Conference on Cognitive Modeling (pp. 260-270). Veenendal, NL: Universal Press. [] [info]

Schoelles, M. J. & Gray, W. D. (2001). Argus: A suite of tools for research in complex cognition. Behavior Research Methods, Instruments, & Computers, 33(2), 130-140. [] [info]

Schoelles, M. J., Neth, H., Myers, C. W., & Gray, W. D. (2006). Steps towards integrated models of cognitive systems: A levels-of-analysis approach to comparing human performance to model predictions in a complex task environment. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 756-761 ) . Vancouver, British Columbia, Canada. [] [info]

Schooler, L. & Anderson, J. R. (1991). Does memory reflect statistical regularity in the environment? In Proceedings of the 13th Annual Conference of the Cognitive Science Society, 227-232. [] [info]

Schooler, L. J. (2001). Rational theories of cognition in psychology. In W. Kintch, N. Smelser, P. Baltes, (Eds.), International Encyclopedia of the Social and Behavioral Sciences. Oxford, UK: Pergamon. [] [info]

Schooler, L. J. & Anderson, J. R. (1990). The disruptive potential of immediate feedback. In Proceedings of the Twelfth Annual Conference of the Cognitive Science Society, 702-708, Cambridge, MA. [] [info]

Schooler, L. J. & Anderson, J. R. (1993). Recency and Context: An Environmental Analysis of Memory. In Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society, pp. 889-894. [] [info]

Schooler, L. J. & Anderson, J. R. (1997). The role of process in the rational analysis of memory. Cognitive Psychology, 32(3), 219-250. [] [info]

Schooler, L. J. & Hertwig, R. (2004). How forgetting fosters heuristic inference. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 384-385). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Schooler, L. J. & Hertwig, R. (2005). How Forgetting Aids Heuristic Inference. Psychological Review, 112(3), 610-628. [] [info]

Schooler, L. J., Shiffrin, R. M., & Raaijmakers, J. G. W. (2001). Theoretical Note: A Bayesian model for implicit effects in perceptual identification. Psychological Review, 108, pp. 257-272. [] [info]

Schoor, T., Gerjets, P., & Scheiter, K. (2003). Volitional action control in multiple-task performance: Modeling effects of goal competition and task difficulty in ACT-R. In F. Detje, D. Doerner, & H. Schaub (Eds.), In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 183-188). Bamberg, Germany: Universitats-Verlag Bamberg. [] [info]

Schoppek, W. (1999). Rules and instances in the control of a static system - Modelling the influence of causal interpretation. In I. Wachsmuth & B. Jung (Eds.), KogWiss99. Sankt Augustin: Infix. (pp. 146-151). [] [info]

Schoppek, W. (2000). Memory for continually changing information: A task analysis and model of the keeping track task. In L. R. Gleitman & A. K. Joshi (Eds.), Proceedings of the 22nd Annual Conference of the Cognitive Science Society, 877-882, Mahwah: Erlbaum. [] [info]

Schoppek, W. (2001). The influence of causal interpretation on memory for system states. In J. D. Moore and K. Stenning (Eds.), Proceedings of the 23rd Annual Conference of the Cognitive Science Society, 904-909, Mahwah: Erlbaum. [] [] [info]

Schoppek, W. (2002b). Stochastic independence between recognition and completion of spatial patterns as a function of causal interpretation. In Proceedings of the 24th Annual Conference of the Cognitive Science Society. [] [info]

Schoppek, W. (2002). Examples, rules, and strategies in the control of dynamic systems. Cognitive Science Quarterly, 1 (4). [] [info]

Schoppek, W. (2003). Emerging structure in ACT-R: Explorations in competitive chunking In F. Detje, D. Doerner, & H. Schaub (Eds.), In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 297-298). Bamberg, Germany: Universitats-Verlag Bamberg. [] [info]

Schoppek, W. & Boehm-Davis, D. A. (2004). Opportunities and challenges of modeling user behavior in complex real world tasks. MMI interaktiv 7, 47-60. [] [info]

Schoppek, W., Holt R.W., Diez M.S., & Boehm-Davis D.A. (2001). Modeling behavior in complex and dynamic situations - The example of flying an automated aircraft. In E. M. Altmann, A. Cleeremans, C. D. Schunn &, W. D. Gray (Eds.), Proceedings of the Fourth International Conference on Cognitive Modeling (pp. 258-259). Mahwah, NJ: Erlbaum. [] [info]

Schorr, T., Gerjets, P. & Scheiter, K. (2003) Analyzing Effects of Goal Competition and Task Difficulty in Multiple-Task Performance: Volitional Action Control within ACT-R. In Proceedings of the 25th Annual Meeting of the Cognitive Science Society. pg 1053-1058. [] [info]

Schultheis, H. (2009). Computation and explanatory power of cognitive architectures: The case of ACT-R. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 107), Manchester, United Kingdom. [] [info]

Schultheis, H., Barkowsky, T. & Bertel, S. (2006). LTMc -- An improved long-term memory for cognitive architectures. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 274-279). Trieste, Italy. [] [info]

Schultheis, H., Lile, S., & Barkowsky, T. (2007). Extending ACT-R's Memory Capabilities. In S. Vosniadou, D. Kayser, A. Protopapas (Eds.), In Proceedings of EuroCogSci'07: The European Cognitive Science Conference (pp. 758–763). Lawrence Erlbaum Associates. [] [info]

Schunn, C. D., & Anderson, J. R. (1997). General and specific expertise in scientific reasoning. In Proceedings of the 19th Annual Conference of the Cognitive Science Society, pp. 674-679. Mahwah, NJ: Erlbaum. [] [info]

Schunn, C. D. & Anderson, J. R. (1998). Scientific discovery. In J. R. Anderson, & C. Lebiere (Eds.). The atomic components of thought, 385-428. Mahwah, NJ: Erlbaum. [] [info]

Schunn, C. D., & Anderson, J. R. (1999). The generality/specificity of expertise in scientific reasoning. Cognitive Science, 23, 337-370. [] [info]

Schunn, C. D. & Anderson, J. R. (2001). Acquiring expertise in science: Explorations of what, when, and how. In K. Crowley, C. D. Schunn, & T. Okada (Eds.) Designing for science: Implications from everyday, classroom, and professional settings, (pp. 83-114). Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Schunn, C. D. & Harrison, A. M. (2001). ACT-RS: A neuropsychologically inspired module for spatial reasoning. In Proceedings of the Fourth International Conference on Cognitive Modeling, pp. 267-268. Mahwah, NJ: Lawrence Erlbaum Associates. [Document] [Document] [info]

Schustack, M. W. & Anderson, J. R. (1979). Effects of analogy to prior knowledge on memory for new information. Journal of Verbal Learning and Verbal Behavior, 18, 565-584. [] [info]

Serna, A., Pigot, H., & Rialle, V. (2007). Modeling the progression of Alzheimer's disease for cognitive assistance in smart homes. User Modeling and User-Adapted Interaction, 17, 415-438. [] [info]

Servan-Schreiber, E. & Anderson, J. R. (1990). Chunking as a mechanism of implicit learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 16, 592-608. [] [info]

Shah, K., Rajyaguru, S., St. Amant, R., & Ritter, F. E. (2003). Connecting a cognitive model to dynamic gaming environments: Architectural and image processing issues. In F. Detje, D. Doerner, & H. Schaub (Eds.), Proceedings of the Fifth International Conference on Cognitive Modeling. 189-194. Bamberg, Germany: Universitats-Verlag Bamberg. [] [info]

Shibata, M., Abe, J., Terao, A., & Miyamoto, T. (2007). Neural mechanisms involved in the comprehension of metaphoric and literal sentences: An fMRI study. Brain Research, 1166, 92-102. [] [info]

Simon, T. J. (1998) Computational evidence for the foundations of numerical competence. Developmental Science, 1, 71-78. [] [info]

Sims, C. R. & Gray, W. D. (2004). Episodic versus Semantic memory: An exploration of models of memory decay in the serial attention paradigm. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 279-284). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Singley, M. K., & Anderson, J. R. (1985). The transfer of text-editing skill. Journal of Man-Machine Interaction, 22, 403-423. [] [info]

Singley, M. K. & Anderson, J. R. (1988). A keystroke analysis of learning and transfer of text editing. Human Computer Interaction, 3, 223-274. [] [info]

Singley, M. K. & Anderson, J. R. (1989). Transfer of Cognitive Skill. Cambridge, MA: Harvard University Press. [info]

Singley, M. K., Anderson, J. R., & Gevins, J. S. (1991). Promoting abstract strategies in algebra word problem solving. In Proceedings of the International Conference of the Learning Sciences, 398-404. Evanston, IL. [] [info]

Singley, M. K., Anderson, J. R., Gevins, J. S., & Hoffman, D. (1989). The algebra word problem tutor. Artificial Intelligence and Education, 267-275. [] [info]

Smolen, T. & Chuderski, A. (2010). Modeling strategies in Stroop with a general architecture of executive control. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 931-936). Austin, TX: Cognitive Science Society. [] [info]

Sohn, M.-H., Albert, M. V.., Stenger, V. A, Jung, K.-J., Carter, C. S., & Anderson, J. R. (2007). Anticipation of conflict monitoring in the anterior cingulate cortex and the prefrontal cortex. Proceedings of National Academy of Science, 104, 10330-10334. [] [info]

Sohn, M.-H., & Anderson, J. R. (2001). Task preparation and task repetition: Two-component model of task switching. Journal of Experimental Psychology: General. [] [ACT-R 4.0 web-based simulations and model source code] [info]

Sohn, M.-H., & Anderson, J. R. (2003). Stimulus-related priming during task switching. Memory & Cognition, 31 (5), 775-780. [] [info]

Sohn, M.-H., Anderson, J. R., Reder, L. M., & Goode, A. (2004) Differential fan effect and attentional focus. Psychonomic Bulletin and Review11(4), 729-734. [] [info]

Sohn, M-H., Douglass, S. A., Chen, M-C., & Anderson, J. R. (2000). Eye-movements during unit-task execution in a complex problem-solving situation. In Proceedings of the 44th Annual Meeting of the Human Factors and Ergonomics Society, 378-381. [] [info]

Sohn, M.-H., Douglass, S. A., Chen, M.-C., & Anderson, J. R. (2005). Characteristics of fluent skills in a complex, dynamic problem-solving task. Human Factors, 47 (4), 742-752. [] [info]

Sohn, M.-H., Goode, A., Koedinger, K. R., Stenger, V. A, Fissell, K., Carter, C. S., & Anderson, J. R. (2004). Behavioral equivalence but not neural equivalence: Neural evidence of alternative strategies in mathematical thinking. Nature Neuroscience, 7 (11), 1193-1194. [] [info]

Sohn, M.-H., Goode, A., Stenger, V. A, Carter, C. S., & Anderson, J. R. (2003). Competition and representation during memory retrieval: Roles of the prefrontal cortex and the posterior parietal cortex, Proceedings of National Academy of Sciences, 100, 7412-7417. [] [info]

Sohn, M.-H., Goode, A., Stenger, V. A, Jung, K.-J., Carter, C. S., & Anderson, J. R. (2005). An information-processing model of three cortical regions: Evidence in episodic memory retrieval, NeuroImage , 21-33. [] [info]

Sohn, M.-H., Ursu, S., Anderson, J. R., Stenger, V. A., & Carter, C. S. (2000). The role of prefrontal cortex and posterior parietal cortex in task-switching. In Proceedings of National Academy of Science, 97 (24), 13448-13453. [] [info]

St. Amant, R., Freed, A. R., & Ritter, F. E. (2005). Specifying ACT-R models of user interaction with a GOMS language. Cognitive Systems Research, 6, 71-88. [] [info]

St. Amant, R., Horton, T. E., & Ritter F. E. (2004). Model-based evaluation of cell phone menu interaction. In Proceedings of the CHI'04 Conference on Human Factors in Computer Systems 343-350. New York, NY: ACM. [] [info]

St. Amant, R., Horton, T. E., & Ritter, F. E. (2007). Model-based evaluation of expert cell phone menu interaction. ACM Transactions on Computer-Human Interaction, 14(1), Article 1 (May 2007), 24 pages. [] [info]

St. Amant, R., McBride, S. P., Ritter, F. E. (2007). AI support for building cognitive models. In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06) (pp. 1663-1666). Menlo Park, CA: AAAI Press. [] [info]

St. Amant, R. & Riedl, M. O. (2001). A perception/action substrate for cognitive modeling in HCI. International Journal of Human-Computer Studies, 55(1), pp. 15-39. [] [info]

St. Amant, R., Riedl, M. O., Ritter, F. E., & Reifers, A. (2005). Image processing in cognitive models with SegMan. In Proceedings of HCI International, 2005. (Invited.) Volume 4 - Theories Models and Processes in HCI. Paper # 1869. [] [info]

St. Amant, R. & Ritter, F. E. (2004) Automated GOMS to ACT-R model generation. In Proceedings of the Sixth International Conference on Cognitive Modeling. Mahwah, NJ: Lawrence Erlbaum [info]

St. Amant, R. & Ritter, F. E. (2004). Automated GOMS-to-ACT-R model generation. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 26-31). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Stanley, C. T. (2010). LETF: A Lisp-Based Exploratory Testing Framework for Computational Cognitive Models. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 297-298). Philadelphia, PA: Drexel University. [] [HTML] [info]

Stewart, T. C. (2006). Tools and techniques for quantitaive and predictive cognitive science. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 816-821 ) . Vancouver, British Columbia, Canada. [] [info]

Stewart, T. C. & West, R. L. (2006). Deconstructing ACT-R. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 298-303). Trieste, Italy. [] [info]

Stocco, A., & Anderson, J. R. (2007). Endogenous control in algebraic problem solving: An fMRI study. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society. New York, NY, p. 271. [] [info]

Stocco, A. & Anderson, J. R. (2008) Endogenous control and task representation: An fMRI study in algebraic problem solving. Journal of Cognitive Neuroscience, 20(7), 1300-1314. [][Model] [info]

Stocco, A., & Crescentini, C. (2005). Syntactic comprehension in agrammatism: A computational model. Brain & Language 95(1), 127-128. [] [info]

Stocco, A., & Fum, D., (2005) Somatic markers and memory for outcomes: Computational and experimental evidence. In Proceedings of the 14th Annual Conference of the European Society for Cognitive Psychology (ESCoP). [] [info]

Stocco, A., Fum, D., & Zalla, T. (2005). Revising the role of somatic markers in the Gambling Task: A computational account for neuropsychological impairments. In B. Bara, L. Barsalou & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Stocco, A., Lebiere, C., & Anderson, J. R. (2008). Procedural Learning and Sequential Control of Behavior in a Neural Network Model of the Basal Ganglia. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA, pp. 210-211. [] [info]

Stocco, A., Lebiere, C., & Anderson, J. R. (2009). Dopamine, learning, and production rules: The basal ganglia and the flexible control of information transfer in the brain. In A. Samsonovich (Ed.) Biologically Inspired Cognitive Architectures II (pp. 169-175), AAAI Press. [] [info]

Stocco, A., Lebiere, C., & Anderson, J. R. (2010). Conditional routing of information to the cortex: A model of the basal ganglia’s role in cognitive coordination. Psychological Review, 117(2), 540-574. [][Model] [info]

Stocco, A., Lebiere, C., O'Reilly, R. C., & Anderson, J. R. (2010). The role of the anterior prefrontal-basal ganglia circuit as a biological instruction interpreter. In A. V. Samsonovich, K. R. Jóhannsdóttir, A. Chella, & B. Goertzel (Eds.) Biologically Inspired Cognitive Architectures 2010. Frontiers in Artificial Intelligence and Applications, (pp. 153-162). Amsterdam, The Netherlands: IOS Press. [] [info]

Suckow, K., Vasishth, S., & Lewis, R. L. (2005). interference and memory overload during parsing. In proceedings of the Architecture and Mechanisms for Language Processing 2005(September), Ghent, Belgium. [] [info]

Taatgen, N. A. (1997). A rational analysis of alternating search and reflection in problem solving. In Proceedings of the 19th Annual Conference of the Cognitive Science Society. Hillsdale, NJ: Erlbaum. [] [info]

Taatgen, N. A. (1999). A model of learning task-specific knowledge for a new task. In Proceedings of the twenty-first annual conference of the Cognitive Science Society (pp. 730-735). Mahwah, NJ: Erlbaum. [] [info]

Taatgen, N. A. (1999). Learning without limits: from problem solving toward a unified theory of learning. Doctoral Dissertation, University of Groningen, The Netherlands. [] [info]

Taatgen, N. A. (2001). A model of individual differences in learning Air Traffic Control. In Proceedings of the Fourth International Conference on Cognitive Modeling, pp. 211-216. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Taatgen, N. A. (2001). Extending the Past-tense debate: A model of the german plural. In J. D. Moore and K. Stenning, Proceedings of the twenty-third annual conference of the cognitive science society, 1018-1023. Mahwah, NJ: Erlbaum. [] [info]

Taatgen, N. A. (2002). A model of individual differences in skill acquisition in the Kanfer-Ackerman Air Traffic Control Task. Cognitive Systems Research, 3(1), 103-112. (ACT-R 4) [] [info]

Taatgen, N.A. (2003). Learning rules and productions. In: L. Nadel (Ed.), Encyclopedia of Cognitive Science, vol. 2 (pp. 822-830). London: MacMillan. [HTML] [info]

Taatgen, N.A. (2005). Modeling parallelization and speed improvement in skill acquisition: from dual tasks to complex dynamic skills. Cognitive Science, 29, 421-455. [] [info]

Taatgen, N.A. & Anderson, J.R. (2002). Why do children learn to say "broke"? A model of learning the past tense without feedback. Cognition, 86(2), 123-155. [] [ACT-R 4.0 model source code] [info]

Taatgen, N.A. & Anderson, J.R. (2008). ACT-R. In R. Sun (ed.), Constraints in Cognitive Architectures. Cambridge University Press, pp 170-185. [] [info]

Taatgen, N. A. & Anderson, J. R. (2009). The Past, Present, and Future of Cognitive Architectures. topiCS in Cognitive Science, 1-12. [] [info]

Taatgen, N.A. & Dijkstra, M. (2003). Constraints on Generalization: Why are past-tense irregularization errors so rare? Proceedings of the 25th annual conference of the cognitive science society (pp. 1146-1151). Mahwah, NJ: Erlbaum [HTML] [info]

Taatgen, N. A., Huss, D., & Anderson, J. R. (2006). How cognitive models can inform the design of instructions. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 304-309). Trieste, Italy. [] [info]

Taatgen, N.A., Huss, D., Dickison, D.H., & Anderson, J.R. (2008). The Acquisition of Robust and Flexible Cognitive Skills. Journal of Experimental Psychology: General, 137(3), 548-565. [][Model for Experiment 2][Model for Experiment 1] [info]

Taatgen, N. A., Juvina, I., Herd, S., Jilk, D., & Martens, S. (2007). Attentional blink: An internal traffic jam? In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Taatgen, N.A., Juvina, I., Schipper, M., Borst, J.P., & Martens, S. (In Press). Too Much Control can Hurt: A Threaded Cognition Model of the Attentional Blink. Cognitive Psychology. [] [info]

Taatgen, N.A., Lebiere, C. & Anderson, J.R. (2006). Modeling Paradigms in ACT-R. In R. Sun (ed.), Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press; 29-52. [] [info]

Taatgen, N.A. & Lee, F.J. (2003). Production Compilation: A simple mechanism to model Complex Skill Acquisition. Human Factors, 45(1), 61-76. [] [info]

Taatgen, N., Anderson, J. R., Dickison, D., & van Rijn, H. (2005) Time Interval Estimation: Internal Clock or Attentional Mechanism? In B. Bara, L. Barsalou & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Taatgen, N.A., van Oploo, M., Braaksma, J. & Niemantsverdriet, J. (2003). How to construct a believable opponent using cognitive modeling in the game of Set. In F. Detje, D Dörner and H. Schaub (eds.), Proceedings of the fifth international conference on cognitive modeling (pp. 201-206). Bamberg: Universitätsverlag Bamberg. [HTML] [info]

Taatgen, N. A. & van Rijn, H. (2010). Nice Graphs, Good R2, but still a poor fit? How to be more sure your model explains your data. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 247-252). Philadelphia, PA: Drexel University. [] [info]

Taatgen, N. A. & Wallach, D. (2002). Whether skill acquisition is rule or instance based is determined by the structure of the task. Cognitive Science Quarterly, 2(2), 163-204. [] [info]

Taatgen, N.A. (winter 2004). Production compilation: a versatile cognitive mechanism. AISB Quarterly p. 7. [HTML] [info]

Taatgen, N., van Rijn, H., & Anderson, J. R. (2004). Time perception: Beyond simple interval estimation. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 296-301). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Taatgen, N., Van Rijn, H., Anderson, J. R. (2007). An integrated theory of prospective time interval estimation: The role of cognition, attention, and learning. Psychological Review, 114(3), 577-598. [][Model] [info]

Tamborello, F. P., II, & Byrne, M. D. (2007). Fast Learning in a Simple Probabilistic Visual Environment: A Comparison of ACT-R’s Old PG-C and New Reinforcement Learning Algorithms. In Proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Tamborello, F. P., II, & Byrne, M. D. (in press). Adaptive but Non- Optimal Visual Search Behavior in Highlighted Displays. Journal of Cognitive Systems Research. [] [info]

Tamborello, II, F. P., & Byrne, M. D. (2006). Adaptive but non-optimal visual search behavior in highlighted displays. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 316-321). Trieste, Italy. [] [info]

Teo, L. & John, B. E. (2010). The evolution of a goal-directed exploration model: Effects of information scent and go-back utility on successful exploration. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 253-258). Philadelphia, PA: Drexel University. [] [info]

Terao, A., Koedinger, K. R., Sohn, M-H., Qin, Y., Anderson, J. R., & Carter, C. S. (2004). An fMRI study of the interplay of symbolic and visuo-spatial systems in mathematical reasoning.In Proceedings of the 26th Annual Conference of the Cognitive Science Society (pp. 1327-1332). [] [info]

Terao, A., Koedinger K., Sohn, M-H., Anderson, J. R., & Carter, C. S. (2004). An fMRI study of the interplay of visual-spatial systems in mathematical reasoning. In Proceedings of the 26th Annual Conference of the Cognitive Science Society (pp. 1327-1332). August 4-7, Chicago, USA. [] [info]

Tor, K., Haynes, S. R., Ritter, F. E., & Cohen, M. A. (2004). Categorical data displays generated from three cognitive architectures illustrate their behavior. In Proceedings of the International Conference on Cognitive Modeling (pp. 302-307). Mahwah, NJ: Lawrence Erlbaum. [] [info]

Tor, K. & Ritter, F. E. (2004). Using a genetic algorithm to optimize the fit of cognitive models. In Proceedings of the Sixth International Conference on Cognitive Modeling. Mahwah, NJ: Lawrence Erlbaum. [] [info]

Tor, K., Ritter, F. E., Haynes, S. R., & Cohen, M. A. (2004). CaDaDis: A tool for displaying the behavior of cognitive models and agents. In Proceedings of the 13th Conference on Behavior Representaion in Modeling and Simulation. 04-BRIMS-032. 192-200. Orlando, FL: University of Central Florida. [] [info]

Trafton, J. G., Altmann, E. M., Brock, D. P., & Mintz, F. E. (2003). Preparing to resume an interrupted task: Effects of prospective goal encoding and retrospective rehearsal. International Journal of Human-Computer Studies, 58, 583-603. [] [info]

Trafton, J. G., Altmann, E. M., & Ratwani, R. M. (2009). A memory for goals model o sequence errors. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 225), Manchester, United Kingdom. [] [info]

Trafton, J. G., Harrison, A. M., Fransen, B., & Bugajska, M. (2009). An embodied model of infant gaze-following. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 216), Manchester, United Kingdom. [] [info]

Triona, L. M., Masnick, A. M., & Morris, B. J. (2002). What does it take to pass the false belief task? An ACT-R Model. In Proceedings of the 24th Annual Meeting of the Cognitive Science Society, Fairfax, VA: August, 2002. [] [info]

Urbas, L., Heinath, M., Troesterer, S., Pape, N., Dzaack, J., Kiefer, J., & Leuchter, S. (2006). Agimap: A tool chain to support the modelling of the interaction level of dynamic systems. Tutorial at Trieste:Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 409). Trieste, Italy. [info]

van den Bosch, A. (2001). Rationality in Discovery: A study of logic, cognition, computation, and neuropharmacology. Ph.D. Dissertation. Groningen University, The Netherlands. [info]

van Gog, T., Kostons, D., & Paas, F. (2010). Teaching Students Self-Assessment and Task-Selection Skills with Video-Based Modeling Examples. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 296-301). Austin, TX: Cognitive Science Society. [] [info]

Van Maanen, L. (2007). Mediating expert knowledge and visitor interest in art work recommendation. In proceedings of LWA 2007, Halle (Saale), Germany. [] [info]

Van Maanen, L., Borst, J. P., Janssen, C. P., & Van Rijn, H. (2006). Memory structures as user models, In proceedings of the 13th Annual ACT-R Workshop. Pittsburgh, PA. [] [info]

van Maanen, L. & van Rijn D. H. (2009). The locus of the gratton effect in picture-word interference. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 187), Manchester, United Kingdom. [] [info]

Van Maanen, L. & Van Rijn, H. (2005) RACE for retrieval: Competitive effects in memory retrieval. In Proceedings of the 12th Annual ACT-R Workshop. Trieste, Italy. [] [info]

van Maanen, L. & van Rijn, H. (2006). An accumulator model account of sematic interference in memory retrieval. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 322-327). Trieste, Italy. [] [info]

van Maanen, L. & van Rijn, H. (2007). Accounting for Subliminal Priming in ACT-R. In proceedings of 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Van Maanen, L., & Van Rijn, H. (2007). An accumulator model of semantic interference. Cognitive Systems Research, 8(3), 174-181. [] [info]

Van Maanen, L., & Van Rijn, H. (2008). The picture-word interference effect is a stroop effect after all. In V. Sloutsky, B. Love & K. McRae (Eds.), In proceedings of 30th Annual Meeting of the Cognitive Science Society. Washington DC. [] [info]

Van Maanen, L., & Van Rijn, H. (2010). The Locus of the Gratton Effect in Picture-Word Interference. Topics in Cognitive Science 2(1), 168-180. [] [info]

Van Maanen, L., Van Rijn, H., & Borst, J.P. (2009). Stroop and Picture-Word Interference are Two Sides of the Same Coin. Psychonomic Bulletin & Review, 16(6), 987-999. [] [info]

Van Maanen, L., Van Rijn, H., Van Grootel, M., Kemna, S., Klomp, M., & Scholtens, E. (2010). Personal Publication Assistant: Abstract recommendations by a cognitive model. Cognitive Systems Research, 11(1), 120-129 (Special Issue on Brain Informatics). [] [info]

van Maanen, L. & Verbrugge, R. (2010). A computational model of second-order social reasoning. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 259-564). Philadelphia, PA: Drexel University. [] [info]

van Rij, J., van Rijn, H., & Hendriks, P. (2010). A cognitive model of the acquisition and use of referring expressions. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 299-300). Philadelphia, PA: Drexel University. [] [info]

van Rij, J., van Rijn, H., & Hendriks, P. (2010). A computational model for the acquisition of referring subjects in discourse. Poster presented at the 32nd Annual Conference of the Cognitive Science Society. Portland, OR. [] [info]

van Rijn, D. H., van Maanen, L., & van Woudenberg, M. (2009).Passing the test: Improving learning gains by balancing spacing and testing effects. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 200), Manchester, United Kingdom. [] [info]

van Rijn, H. & Anderson, J. R. (2003). Modeling lexical decision as ordinary retrieval. In F. Detje, D. Doerner, & H. Schaub (Eds.), In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 207-212). Bamberg, Germany: Universitats-Verlag Bamberg. [] [info]

van Rijn, H., Someren, M., & van der Maas, H. (2000). Modeling developmental transitions in ACT-R. Simulating balance scale behavior by symbolic and subsymbolic learning. In Proceedings of the Third International Conference on Cognitive Modeling, pp. 226-233. Groningen: Universal Press. [] [info]

van Rijn, H. & Taatgen, N. A. (2007). A model of parallel time estimation. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Van Rijn, H., van Someren, M., & van der Maas, H.L.J. (2003). Modeling developmental transitions on the balance scale task. Cognitive Science, 27(2), 227-257. [HTML] [info]

Vasishth, S., Brüssow, S., Lewis, R. L., & Drenhaus, H. (in press). Processing polarity: How the ungrammatical intrudes on the grammatical. Cognitive Science, 32 (4), 685-712. [] [HTML] [Document] [info]

Vasishth, S., Heiner, D., Saddy, D., & Lewis, R. L. (2005). Processing negative polarity. Presented at City University of New York Sentence Processing Conference, March, 31, 2005, Tucson, AZ. [] [info]

Vasishth, S. & Lewis, R. L. (submitted). Argument-head distance and processing complexity: Explaining both locality and anti-locality effects. Language. [] [info]

Veksler, B. Z. (2010). Visual search strategies and the layout of the display. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 323-324). Philadelphia, PA: Drexel University. [] [info]

Veksler, B. Z., Gray, W. D., & Schoelles, M. J. (2007). From 1000ms to 650 ms: Why interleaving, soft constraints, and milliseconds matter. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [] [info]

Veksler, V. D. (2009). Second-Life as a simulation environment: Rich, high-fidelity world, minus the hassles. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 231), Manchester, United Kingdom. [] [info]

Veksler, V. D. & Gray, W. D. (2004). State definition in the Tetris task: designing a hybrid model of cognition. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 394-395). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Veksler, V. D., Gray, W. D., & Schoelles, M. J. (2009). Goal-Proximity Decision Making: Who needs reward anyway? In Proceedings of the 31st Annual Meeting of the Cognitive Science Society. [] [info]

Wagenmakers, E. M., Zeelenberg, R., Schooler, L. J., & Raaijmakers, J. G. W. (2001). A criterion-shift model for enhanced discriminability in perceptual identification: A note on the counter model. Psychonomic Bulletin, & Review, 7, 718-726. [] [info]

Wallach, D. (1997). Rekonstruktion komplexer Problemlöseprozesse in einer integrativen Kognitionstheorie. [On modeling complex problem solving in an integrative theory of cognition]. In W. Krause, U. Kottkamp & R. Goertz (Hrsg.). KogWis97: Proceedings der dritten Fachtagung der Gesellschaft für Kognitionswissenschaft. Jena: Friedrich-Schiller Universität. [] [info]

Wallach, D. (1998). Komplexe Regelungsprozesse: Eine kognitionswissenschaftliche Analyse [Complex system control: A cognitive science approach]. Wiesbaden: Duv. [info]

Wallach, D. & C. Lebiere, C. (2000). Learning of event sequences: An architectural approach. In N. Taatgen (Ed.). In Proceedings of the Third International Conference on Cognitive Modeling, pp. 271-279. Groningen: Universal Press. [] [info]

Wallach, D. & Lebiere, C. (1998). Modellierung von Wissenserwerbsprozessen bei der Systemregelung [Modeling of knowledge acquisition processes in system control]. In W. Krause und U. Kottkamp (Hrsg.). Intelligente Informationsverarbeitung (pp. 93-101). Wiesbaden: Deutscher Universitätsverlag. [] [info]

Wallach, D., & Lebiere, C. (2002). On the role of instances in complex skill acquisition. In Proceedings of the 43rd Conference of the German Psychological Association. [info]

Wallach, D. & Tack, W. (1998). Wissenserwerb und Performanz bei der Regelung komplexer Systeme [On the relationship of learning and performance in system control]. Kognitionswissenschaft, 7, 118-123. [] [info]

Walsh, M. M. & Anderson, J. R. (2009) The strategic nature of changing your mind. Cognitive Psychology, 58, 416-440. [] [info]

Walsh, M. M. & Anderson, J. R. (2010). Neural correlates of temporal credit assignment. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 265-270). Philadelphia, PA: Drexel University. [] [info]

Walsh, M.M., & Anderson, J.R. (2011). Learning from delayed feedback: Neural responses in temporal credit assignment. Cognitive, Affective, and Behavioral Neuroscience, 11, 131-143. [] [info]

Walsh, M. M. & Anderson, J. R. (2011) Modulation of the feedback-related negativity by instruction and experience. Proceedings of the National Academy of Science U.S.A, 108 (47), 19048-19053. [] [info]

Wang, H., Fan, J., & Johnson, T. R. (2004). A symbolic model of human attentional networks. Cognitive Systems Research, 5, 119-134. [] [info]

Wang, H., Fan, J., & Yang, Y. (2004) Toward a multilevel analysis of human attentional networks. In proceedings of the 26th Annual Conference of the Cognitive Science Society (pp. 1428-1433) . August 4-7, Chicago, USA [] [info]

Wang, Y. & Laird, J. E. (2007). The importance of action history in decision making in reinforcement learning. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [info]

West, R. L. & Emond, B. (2001). Can cognitive modeling improve usability testing and rapid prototyping? In Proceedings of the Fourth International Conference on Cognitive Modeling, pp. 271-273. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

West, R.L, Emond B. (2002). SOS: A simple operating system for modeling HCI with ACT-R. Seventh Annual ACT-R Workshop. Pittsburgh, PA : Department of Psychology, Carnegie Mellon University, 2 p. [] [info]

West, R. L. & Emond, B. (2004). The environment as theory: An example using the ACT-R/SOS environment. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 398-399). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

West, R. L. , Lebiere, C. & Bothell, D. J. (2006). Cognitive architectures, game playing, and human evolution. In R. Sun (ed.), Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press; New York, NY, 103-123. [] [info]

West, R. L., Pyke, A. A., Rutledge-Taylor, M. F., & Lang, H. (2010). Interference and ACT-R: New evidence from the fan effect. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 277-281). Philadelphia, PA: Drexel University. [] [info]

West, R. L., Stewart, T. C., Lebiere, C., & Chandrasekharan, S. (2005). Stochastic resonance in human cognition: ACT-R vs. game theory, associative neural networks, recursice neural networks, q-learning, and humans. In B. Bara, L. Barsalou & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Winkelholz, C. (2006). Analyse, Modellierung und Simulation der visuell-räumlichen Kognition in der Mensch-Maschine-Interaktion. Dissertation RWTH Aachen, Shaker-Verlag, Aachen. [HTML] [info]

Winkelholz, C., Brandt, M., & Renkewitz, H. (2006). Modellbasierte Analyse der menschlichen Leistung beim sequentiellen Durchblättern von Menuoptionen. In Cognitive Systems Engineering in der Fahrzeug- und Prozessführung (DGLR-Bericht 2006-02; pp. 319-226). Hrsg.: Grandt, M.; Bauch A. Deutsche Gesellschaft für Luft- und Raumfahrt e.V., Bonn. [] [info]

Winkelholz, C. & Schlick, C. (2005). A Production system for the Serial Recall of Object-Locations in Graphical Layout Structures. In Proceedings of the 12th Annual ACT-R Workshop. Trieste, Italy. [] [info]

Winkelholz, C. & Schlick, C. (2006). A symbolic theory of visual-spatial cognition. In Proceedings of the IEA2006 - 16th World Congress on Ergonomics. Elsevier, Maastricht, the Netherlands. [HTML] [info]

Winkelholz, C. & Schlick, C. (2006). Modeling human spatial memory within a symbolic architecture of cognition. In T. Barkowsky, C. Freksa, M. Knauff, B. Kried-Bruckner, and B. Nevel (Eds.) Lecture notes in artificial intelligence: Proceedings of Spatial Cognition. Berlin, Germany: Springer-Verlag. [] [info]

Wintermute, S., Betts, S. A., Ferris, J. L., Fincham, J. M., & Anderson, J. R. (submitted). Networks supporting execution of mathematical skill versus acquisition of new competence. Cognitive and Affective Behavioral Neuroscience [Document][Model] [info]