Publications about Problem Solving and Decision Making

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

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

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

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

Anderson, J. R. (2005) Human symbol manipulation within an integrated cognitive architecture. Cognitive Science, 29(3), 313-341. [] [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., Albert, M. V., & Fincham, J.M. (2005) Tracing Problem Solving in Real Time: fMRI Analysis of the Subject-Paced Tower of Hanoi. Journal of Cognitive Neuroscience, 17 1261-1274. [] [info]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Byrne, M. D., & 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]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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