What goals do students have when choosing the actions they perform?

Intelligent Tutoring Systems No Comments »

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.

A cognitive/affective model of strategic behavior-2-person repeated prisoner’s dilemma game

Game Playing Comments Off

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.

A cognitive model for spatial perspective taking

Spatial Reasoning and Navigation No Comments »

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.

Modellierung von Wissenserwerbsprozessen bei der Systemregelung [Modeling of knowledge acquisition processes in system control]

Dynamic Systems No Comments »

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.

Modeling aviation crew interaction using a cognitive architecture

Driving and Flying Behavior No Comments »

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).

Combining Optimality Theory and a Cognitive Architecture

Language Learning No Comments »

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

Learning to make decisions in dynamic environments: ACT-R Plays the beer game

Dynamic Systems No Comments »

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.

Acquiring expertise in science: Explorations of what, when, and how

Insight and Scientific Discovery Comments Off

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.

Additive or multiplicative perceptual noise? Two equivalent forms of the ANCHOR model

Psychophysical Judgements No Comments »

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

Memory, emotion, & rationality: An ACT-R interpretation for gambling task results

Motivation, Emotion, Cognitive Moderators, & Performance No Comments »

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.

User interface evaluation: How cognitive models can help

Use and Design of Artifacts No Comments »

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.

Predicting the effects of cellular-phone dialing on driver performance

Driving and Flying Behavior Comments Off

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

Modeling lexical decision as ordinary retrieval

Lexical and General Language Processing No Comments »

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.

Routine procedural isomorphs and cognitive control structures

Visual Search No Comments »

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.

Volitional action control in multiple-task performance: Modeling effects of goal compeition and task difficulty in ACT-R

Multi-Tasking No Comments »

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.

Sequence Learning in the ACT-R Cognitive Architecture: Empirical Analysis of a Hybrid Model

Implicit Learning No Comments »

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.

Effects of analogy to prior knowledge on memory for new information

Analogy and Metaphor No Comments »

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.

Toward a unified framework fortracking cognitive processes

Eye Movements Comments Off

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.

Emerging structure in ACT-R: Explorations in competitive chunking

Architecture No Comments »

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.

Recency and Context: An Environmental Analysis of Memory

Practice and Retention No Comments »

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.

Outcome Evaluation and Procedural Knowledge in Implicit Learning

Implicit Learning No Comments »

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.

Simple cognitive modeling in a complex cognitive architecture

User Modeling Comments Off

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.

Top-down versus bottom-up control of cognition in a task switching paradigm

Task Switching No Comments »

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.

Hide and Seek: Using Computational Cognitive Models to Develop and Test Autonomous Cognitive Agents for Complex and Dynamic Tasks

Computer Generated Forces, Video Games, and Agents No Comments »

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.

The disruptive potential of immediate feedback

Intelligent Tutoring Systems No Comments »

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.

Instance-based learning in real-time dynamic decision making

Dynamic Systems No Comments »

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

Modeling driver distraction from cognitive tasks

Driving and Flying Behavior No Comments »

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.

Time perception: Beyond simple interval estimation

Time Perception Comments Off

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.

Episodic versus semantic memory: An exploration of models of memory decay in the serial attention paradigm.

Task Switching No Comments »

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.

Chunking as a mechanism of implicit learning

Implicit Learning No Comments »

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.

Modelling Performance in the Sustained Attention to Response task

Updating Memory and Prospective Memory No Comments »

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.

Towards a theory of balancing exploration and exploitation in probabilistic environments

Choice and Strategy Selection Comments Off

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.

Modeling individual difference factors in a complex task environment

Individual Differences No Comments »

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.

Student modeling in an intelligent programming tutor

Intelligent Tutoring Systems No Comments »

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.

Effects of spacing and embellishments on memory for the main points of a text

Practice and Retention No Comments »

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.

Modeling behavior in complex situations – the example of flying an automated aircraft

Dynamic Systems No Comments »

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.

Human Multitasking: Towards an ACT-R Task-Independent General Executive

Computer Generated Forces, Video Games, and Agents No Comments »

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.

Integrating models and tools in the context of driving and in-vehicle devices

Tools Comments Off

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.

An ACT-R Model of Human Object-Location Memory

Spatial Reasoning and Navigation No Comments »

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.

A comparison of texts and their summaries: memorial consequences

Sentence Memory No Comments »

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.

Acquisition and use of mental operators: Multinomial modeling versus ACT-R

Skill Acquisition No Comments »

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.

The LISP intelligent tutoring system: Research in skill acquisition

Intelligent Tutoring Systems No Comments »

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.

Adapting to the task environment: Explorations in expected value

Choice and Strategy Selection Comments Off

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.

Streak biases in decision making: data and a memory model

Choice and Strategy Selection No Comments »

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

Deciding when to switch tasks in time-critical multitasking

Multi-Tasking No Comments »

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

Anticipatory eye movements in interleaving templates of human behavior

Eye Movements Comments Off

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.

Production compilation: a versatile cognitive mechanism

Architecture No Comments »

Taatgen, N.A. (winter 2004). Production compilation: a versatile cognitive mechanism. AISB Quarterly p. 7.

An ACT-R Model of the Wickens Tracking Task

Multi-Tasking No Comments »

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.

Modeling individual differences in a digit working memory task

Individual Differences No Comments »

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.

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

Multi-Tasking No Comments »

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.

Comprehending anaphoric metaphors

Analogy and Metaphor Comments Off

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

Radical constructivism and cognitive psychology

Instructional Materials No Comments »

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.

A closed-loop, ACT-R approach to modeling approach and landing with and without synthetic vision system (SVS) technology

Attention, Driving and Flying Behavior Comments Off

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.

Analyzing Effects of Goal Competition and Task Difficulty in Multiple-Task Performance: Volitional Action Control within ACT-R

Multi-Tasking No Comments »

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.

ACT-R/S: Look Ma, no “cognitive map”!

Spatial Reasoning and Navigation Comments Off

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.

A source activation theory of working memory: Cross-task prediction of performance in ACT-R

Individual Differences No Comments »

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.

Learning to program recursive functions

Programming No Comments »

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.

The determiners model: a cognitive model of macro development and U-shaped learning in a micro domain

Language Learning No Comments »

Zondervan, K. & Taatgen, N.A. (2003). The determiners model: a cognitive model of macro development and U-shaped learning in a micro domain. In F. Detje, D Dörner and H. Schaub (eds.), Proceedings of the fifth international conference on cognitive modeling (pp. 225-230). Bamberg: Universitätsverlag Bamberg.

Effects of numbers of facts studied on recognition versus sensibility judgments

Interference No Comments »

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.

The Teacher’s apprentice: Designing an intelligent authoring system for high school mathematics

Intelligent Tutoring Systems Comments Off

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

Student Modeling in the ACT Programming Tutor

User Modeling No Comments »

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.

The data learning problem arises also in cognitive architectures other than Soar

Architecture No Comments »

Young, R. M. (2004). The data learning problem arises also in cognitive architectures other than Soar. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 331-336). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh.

Choice and Learning under Uncertainty: A Case Study in Baseball Batting

Choice and Strategy Selection No Comments »

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.

Modelling typical alphabetic analogical reasoning in ACT-R

Reasoning No Comments »

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.

Enhancing ACT-R’s perceptual-motor abilities

Architecture No Comments »

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.

The effect of memory decay on predictions from changing categories

Category Learning No Comments »

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.

Short- and long-term memory retrieval: A comparison of the effects of information load and relatedness

Interference No Comments »

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.

Integrated modeling of cognition and the information environment: Closed-loop, ACT-R modeling of aviation taxi errors and performance

Situational Awareness and Embedded Cognition Comments Off

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.

How to construct a believable opponent using cognitive modeling in the game of Set

Game Playing No Comments »

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.

General principles for an intelligent tutoring architecture

Intelligent Tutoring Systems No Comments »

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.

Learning from real-time over-the-shoulder instructions in a dynamic task

Dynamic Systems No Comments »

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.

Good enough but I’ll just check: Web-page search as attentional refocusing

Information Search No Comments »

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.

A Mechanism-Based Framework for Predicting Routine Procedural Errors

Errors No Comments »

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.

OPTIMIST: A new conflict resolution algorithm for ACT-R

Choice and Strategy Selection No Comments »

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.

Comparing three variants of a computational process model of basic aircraft maneuvering.

Driving and Flying Behavior No Comments »

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.

A computational process model of basic aircraft maneuvering

Driving and Flying Behavior No Comments »

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.

Modeling individual differences in working memory performance: A source activation account in ACT-R

Individual Differences No Comments »

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.

Modeling the visual search of displays: A revised ACT-R/PM model of icon search based on eye-tracking and experimental data

Visual Search No Comments »

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.

An integrated theory of the mind

Architecture Comments Off

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.

Constraints on Generalization: Why are past-tense irregularization errors so rare?

Language Learning No Comments »

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

The effects of category generalization and instance similarity on schema abstraction

Category Learning No Comments »

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.

Learning to choose the most effective strategy: Explorations in expected value

Choice and Strategy Selection Comments Off

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.

A Closer Look at Exploratory Learning of Interactive Devices

Graphical User Interfaces No Comments »

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.

Estimating processing time of online semantic interpretation components

Parsing No Comments »

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.

Capture of visual attention by abrupt onsets: A model of contingent orienting

Visual Search No Comments »

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.

An ACT-R adaptive planner in a simple map-navigation task

Spatial Reasoning and Navigation No Comments »

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.

Menu selection vs. typing: effects on learning in an intelligent programming tutor

Intelligent Tutoring Systems No Comments »

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.

Abstract planning and perceptual chunks: Elements of expertise in geometry

Mathematical Problem Solving No Comments »

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

Learning rules and productions

Architecture No Comments »

Taatgen, N.A. (2003). Learning rules and productions. In: L. Nadel (Ed.), Encyclopedia of Cognitive Science, vol. 2 (pp. 822-830). London: MacMillan.

Spread of activation

Architecture No Comments »

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

Streak biases in decision making: Data and a memory model

Choice and Strategy Selection No Comments »

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.

Proceedings of the Fifth International Conference on Cognitive Modeling

Working Memory No Comments »

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.

An information-processing model of three cortical regions: Evidence in episodic memory retrieval

fMRI No Comments »

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.

An ACT-R model of adaptive communication

Language Learning Comments Off

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.

Verification of sentences containing anaphoric metaphors: An ACT-R computation model

Language Learning No Comments »

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.

Modeling adaptivity in a dynamic task

Choice and Strategy Selection No Comments »

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.

Individual differences and predictive validity in student modeling

Individual Differences No Comments »

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.

Essays on Learning and Memory

Unrelated to ACT-R No Comments »

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

SOS: A simple operating system for modeling HCI with ACT-R

User Modeling No Comments »

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.

Analysis of student performance with the LISP tutor

Intelligent Tutoring Systems No Comments »

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.

The ACT-R theory and visual attention

Visual Search Comments Off

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.

Preparing to resume an interrupted task: Effects of prospective goal encoding and retrospective rehearsal

Updating Memory and Prospective Memory No Comments »

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.

Unintended Effects: Varying Icon Spacing Changes Users’ Visual Search Strategy

Visual Search No Comments »

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.

Dynamic student modelling in an intelligent tutor for LISP programming

Intelligent Tutoring Systems No Comments »

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.

Cognitive principles in the design of computer tutors

Intelligent Tutoring Systems No Comments »

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.

Integrated Modeling of Cognition and theInformation Environment: A Closed-Loop, ACT-R Approach to Modeling Approachand Landing With and Without Synthetic Vision System (SVS) Technology

Situational Awareness and Embedded Cognition Comments Off

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.

Production system models of complex cognition

Architecture Comments Off

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.

Student modelling and tutoring flexibility in the LISP Intelligent Tutoring System

Intelligent Tutoring Systems No Comments »

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.

Suboptimal tradeoffs in information seeking

Information Search Comments Off

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

Deconstructing a computer-based tutor: Striving for better learning efficiency in Stat Lady

Intelligent Tutoring Systems Comments Off

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.

Exploring the usability of adaptive menus with a simple object system.

Graphical User Interfaces No Comments »

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.

Calculation and strategy in the equation solving tutor

Intelligent Tutoring Systems Comments Off

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.

A Metacognitive ACT-R Model of Students’ Learning Strategies in Intelligent Tutoring Systems

Intelligent Tutoring Systems No Comments »

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.

Predictive human performance modeling made easy

Graphical User Interfaces No Comments »

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).

Modeling the effect of task and graphical representation on response latency in a graph reading task

Graphical User Interfaces Comments Off

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.

The Newell test for a theory of cognition

Uncategorized No Comments »

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

A mechanism-based framework for predicting routine procedural errors

Insight and Scientific Discovery No Comments »

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.

Promoting abstract strategies in algebra word problem solving

Skill Acquisition No Comments »

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.

Statistical Techniques For Comparing ACT-R Models of Cognitive Performance

Intelligent Tutoring Systems No Comments »

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.

Is human cognition adaptive?

Architecture Comments Off

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

The use of the the “Take-the-Best” heuristic under different conditions, modeled with ACT-R

Choice and Strategy Selection Comments Off

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

Modeling developmental transitions on the balance scale task

Cognitive Development No Comments »

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.

Cognitive representations and processes in syllogistic reasoning: existential graphs and cognitive modelling

Reasoning No Comments »

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

Eye-movements during unit-task execution in a complex problem-solving situation

Eye Movements No Comments »

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.

Computer simulation of language acquisition: A second report

Language Learning No Comments »

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.

Making heads or tails out of selecting problem-solving strategies

Choice and Strategy Selection Comments Off

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.

Problem solving: Increased planning with practice

Tower of Hanoi Comments Off

Gunzelmann, G., & Anderson, J. R. (2003). Problem solving: Increased planning with practice. Cognitive Systems Research, 4, 57-76.

Task preparation and task repetition: Two-component model of task switching

Task Switching Comments Off

Sohn, M.-H., & Anderson, J. R. (2001). Task preparation and task repetition: Two-component model of task switching. Journal of Experimental Psychology: General.

Spatial Plans, Communication, and Teamwork in Synthetic MOUT Agents

Uncategorized No Comments »

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.

Stochastic resonance in human cognition: ACT-R vs. game theory, associative neural networks, recursice neural networks, q-learning, and humans

Game Playing No Comments »

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.

Intelligent tutoring systems

Intelligent Tutoring Systems No Comments »

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

Rational theories of cognition in psychology

Unrelated to ACT-R No Comments »

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.

The LISP tutor

Intelligent Tutoring Systems No Comments »

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

Interference in memory for multiple contexts

List Memory No Comments »

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

The atomic components of thought

Architecture Comments Off

Anderson, J. R. & Lebiere, C. (1998). The atomic components of thought. Mahwah, NJ: Erlbaum.

Retrieval of information from long-term memory

Interference No Comments »

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

Using a cognitive architecture to examine what develops

Cognitive Development No Comments »

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

Communication in collaborative problem solving

Communication, Negotiation, and Group Decision Making Comments Off

Matessa, M. P. (unpublished). Communication in collaborative problem solving.

Stimulus-related priming during task switching

Task Switching No Comments »

Sohn, M.-H., & Anderson, J. R. (2003). Stimulus-related priming during task switching. Memory & Cognition, 31 (5), 775-780.

An ACT-R model of sentence sorting with argument structure constructions

Lexical and General Language Processing Comments Off

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

Information foraging

Use and Design of Artifacts No Comments »

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

User modeling

Graphical User Interfaces No Comments »

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.

Human associative memory

Architecture No Comments »

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

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