ACT-R

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

  1. ACT-R Theory
  2. Perception and Attention
    1. Psychophysical Judgements
    2. Visual Search
    3. Eye Movements
    4. Multi-Tasking
    5. Task Switching
    6. Subitizing
    7. Stroop
    8. Driving and Flying Behavior
    9. Situational Awareness and Embedded Cognition
    10. Graphical User Interfaces
    11. Time Perception
  3. Learning and Memory
    1. List Memory
    2. Interference
    3. Implicit Learning
    4. Skill Acquisition
    5. Cognitive Arithmetic
    6. Category Learning
    7. Learning by Exploration and Demonstration
    8. Updating Memory and Prospective Memory
    9. Causal Learning
    10. Working Memory
    11. Practice and Retention
    12. Representation
  1. Problem Solving and Decision Making
    1. Tower of Hanoi
    2. Choice and Strategy Selection
    3. Mathematical Problem Solving
    4. Spatial Reasoning and Navigation
    5. Dynamic Systems
    6. Use and Design of Artifacts
    7. Game Playing
    8. Insight and Scientific Discovery
    9. Programming
    10. Reasoning
    11. Errors
  2. Language Processing
    1. Parsing
    2. Analogy and Metaphor
    3. Language Learning
    4. Sentence Memory
    5. Lexical Processing
  3. Other
    1. Cognitive Development
    2. Individual Differences
    3. Motivation, Emotion, & Cognitive Moderators
    4. Cognitive Workload
    5. Computer Generated Forces, Video Games, and Agents
    6. fMRI
    7. Communication, Negotiation, and Group Decision Making
    8. Instructional Materials
    9. User Modeling
    10. Intelligent Tutoring Systems
    11. Information Search
    12. Tools
    13. Comparative (Inter-species)

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). [PDF] [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). [PDF] [info]

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

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

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

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

Altmann, E. M., & Trafton, J. G. (in press). Timecourse of recovery from task interruption: Data and a model. Psychonomic Bulletin & Review. [PDF] [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. [PDF] [info]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Anderson, J. R., & Betz, J. (2001). A hybrid model of categorization. Psychonomic Bulletin and Review, 8, 629-647. [PDF] [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. [PDF] [info]

Anderson, J. R., Bothell, D., & Douglass, S. (2004) Eye movements do not reflect retrieval. Psychological Science. 15, 225-231. [PDF] [info]

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

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

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

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

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

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

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

Anderson, J. R., Boyle, C. F., & Yost, G. (1986) The geometry tutor. The Journal of Mathematical Behavior, 5-20. [PDF] [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. [PDF] [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. [PDF] [Pair1 model] [info]

Anderson, J. R., Carter, C. S., Fincham, J. M., Qin, Y., Ravizza, S. M., & Rosenberg-Lee, M. (submitted). The image of complexity. Cognitive Science. [DOC] [Model] [Model] [info]

Anderson, J. R., Carter, C. S., Fincham, J. M., Qin. Y., Ravizza, S. M., Rosenberg-Lee, M. (submitted). Using fMRI to test models of complex cognition. [info]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Anderson, J. R. & Qin, Y. (in press). Using Brain Imaging to Extract the Structure of Complex Events at the Rational Time Band. Journal of Cognitive Neurscience. [DOC] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [info]

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

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

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

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

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

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

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

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

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

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

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

Budiu, R. & Anderson, J. R. (2004). Interpretation-Based Processing: A Unified Theory of Semantic Sentence Processing. Cognitive Science 28, 1-44. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [info]

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

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

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

Danker, J. F., Gunn, P., & Anderson, J. R. (in press). A rational account of memory predicts left prefrontal activation during controlled retrieval. Cerebral Cortex. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [info]

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

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

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

Fu, W.-T. & Anderson, J. (in press). Dual learning processes in interactive skill acquisition. Journal of Experimental Psychology, Applied. [PDF] [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 [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [info]

Fu, W.-T., & Gray, W. D. (2006). Suboptimal tradeoffs in information seeking. Cognitive Psychology, 52(3), 195-242. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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. [PDF] [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., Lerch, F. J., & Lebiere, C. (2003). Instance-based learning in real-time dynamic decision making. Cognitive Science 27 (4), 591-635. [PDF] [info]

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