ACT-R

Publications about Other

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. (1980). Cognitive psychology and its implications. San Francisco: Freeman. [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. (1990). Cognitive Psychology and its Implications: Third Edition. New York: Freeman. [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. (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). Cognitive Psychology and Its Implications: Sixth Edition. New York: Worth Publishing. [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. (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. [PDF][Model] [info]

Anderson, J. R., Anderson, J. F., Ferris, J. L., Fincham, J. M., & Jung, K-J. (unpublished, 2008). Word puzzles produce distinct patterns of activation in the ventrolateral prefrontal cortex and anterior cingulate cortex. [DOC][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] [DOC][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., 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., 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). Using fMRI to Test Models of Complex Cognition. Cognitive Science, 32, 1323-1348. [DOC][Model][Model] [info]

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

Anderson, J. R., Corbett, A. T., & Reiser, B. J. (1987). Essential LISP, Reading, MA: Addison-Wesley. [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., Fincham, J. M., Qin, Y., & Stocco, A. (2008). A Central circuit of the mind. Trends in Cognitive Science. 12(4), 136-143. [PDF] [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. & Hastie, R. (1974). Individuation and reference in memory: proper names and definite descriptions. Cognitive Psychology, 5, 495-514. [PDF] [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., & Kosslyn, S. M. (Eds.), (1984). Essays on Learning and Memory. San Francisco, CA: Freeman [info]

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

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]

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., 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]

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

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

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

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

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. & 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]

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]

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]

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]

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]

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., & 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]

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]

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. (Submitted). The ghosts of brain states past: Remembering reactivates the brain regions engaged during encoding. [info]

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

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. [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]

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]

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

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. (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., 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] [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]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

John, B. E., Salvucci, D. D., 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. [PDF] [info]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Rosenberg-Lee, M., Lovett, M., & Anderson, J. R. (in revision). Neural correlates of arithmetic calculation strategies. [Document][Model] [info]

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

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Shah, K., Rajyaguru, S., St. Amant, R., & Ritter, F. E. (2003). Connecting a cognitive model to dynamic gaming environments: Architectural and image processing issues. In F. Detje, D. Doerner, & H. Schaub (Eds.), Proceedings of the Fifth International Conference on Cognitive Modeling. 189-194. Bamberg, Germany: Universitats-Verlag Bamberg. [PDF] [info]

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Sohn, M.-H., Goode, A., Koedinger, K. R., Stenger, V. A, Fissell, K., Carter, C. S., & Anderson, J. R. (2004). Behavioral equivalence but not neural equivalence: Neural evidence of alternative strategies in mathematical thinking. Nature Neuroscience, 7 (11), 1193-1194. [PDF] [info]

Sohn, M.-H., Goode, A., Stenger, V. A, Carter, C. S., & Anderson, J. R. (2003). Competition and representation during memory retrieval: Roles of the prefrontal cortex and the posterior parietal cortex, Proceedings of National Academy of Sciences, 100, 7412-7417. [PDF] [info]

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St. Amant, R., Freed, A. R., & Ritter, F. E. (2005). Specifying ACT-R models of user interaction with a GOMS language. Cognitive Systems Research, 6, 71-88. [PDF] [info]

St. Amant, R., Horton, T. E., & Ritter F. E. (2004). Model-based evaluation of cell phone menu interaction. In Proceedings of the CHI'04 Conference on Human Factors in Computer Systems 343-350. New York, NY: ACM. [PDF] [info]

St. Amant, R., Horton, T. E., & Ritter, F. E. (2007). Model-based evaluation of expert cell phone menu interaction. ACM Transactions on Computer-Human Interaction, 14(1), Article 1 (May 2007), 24 pages. [PDF] [info]

St. Amant, R., McBride, S. P., Ritter, F. E. (2007). AI support for building cognitive models. In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06) (pp. 1663-1666). Menlo Park, CA: AAAI Press. [PDF] [info]

St. Amant, R., Riedl, M. O., Ritter, F. E., & Reifers, A. (2005). Image processing in cognitive models with SegMan. In Proceedings of HCI International, 2005. (Invited.) Volume 4 - Theories Models and Processes in HCI. Paper # 1869. [PDF] [info]

St. Amant, R. & Ritter, F. E. (2004). Automated GOMS-to-ACT-R model generation. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 26-31). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [PDF] [info]

Stewart, T. C. (2006). Tools and techniques for quantitaive and predictive cognitive science. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 816-821 ) . Vancouver, British Columbia, Canada. [PDF] [info]

Stocco, A., & Anderson, J. R. (2007). Endogenous control in algebraic problem solving: An fMRI study. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society. New York, NY, p. 271. [DOC] [info]

Stocco, A. & Anderson, J. R. (2008) Endogenous control and task representation: An fMRI study in algebraic problem solving. Journal of Cognitive Neuroscience, 20(7), 1300-1314. [PDF][Model] [info]

Stocco, A., & Fum, D., (2005) Somatic markers and memory for outcomes: Computational and experimental evidence. In Proceedings of the 14th Annual Conference of the European Society for Cognitive Psychology (ESCoP). [PDF] [info]

Stocco, A., Fum, D., & Zalla, T. (2005). Revising the role of somatic markers in the Gambling Task: A computational account for neuropsychological impairments. In B. Bara, L. Barsalou & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates. [PDF] [info]

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Taatgen, N. A., Huss, D., & Anderson, J. R. (2006). How cognitive models can inform the design of instructions. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 304-309). Trieste, Italy. [PDF] [info]

Terao, A., Koedinger, K. R., Sohn, M-H., Qin, Y., Anderson, J. R., & Carter, C. S. (2004). An fMRI study of the interplay of symbolic and visuo-spatial systems in mathematical reasoning.In Proceedings of the 26th Annual Conference of the Cognitive Science Society (pp. 1327-1332). [PDF] [info]

Tor, K., Haynes, S. R., Ritter, F. E., & Cohen, M. A. (2004). Categorical data displays generated from three cognitive architectures illustrate their behavior. In Proceedings of the International Conference on Cognitive Modeling (pp. 302-307). Mahwah, NJ: Lawrence Erlbaum. [PDF] [info]

Tor, K. & Ritter, F. E. (2004). Using a genetic algorithm to optimize the fit of cognitive models. In Proceedings of the Sixth International Conference on Cognitive Modeling. Mahwah, NJ: Lawrence Erlbaum. [PDF] [info]

Tor, K., Ritter, F. E., Haynes, S. R., & Cohen, M. A. (2004). CaDaDis: A tool for displaying the behavior of cognitive models and agents. In Proceedings of the 13th Conference on Behavior Representaion in Modeling and Simulation. 04-BRIMS-032. 192-200. Orlando, FL: University of Central Florida. [PDF] [info]

Trafton, J. G., Harrison, A. M., Fransen, B., & Bugajska, M. (2009). An embodied model of infant gaze-following. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 216), Manchester, United Kingdom. [PDF] [info]

Triona, L. M., Masnick, A. M., & Morris, B. J. (2002). What does it take to pass the false belief task? An ACT-R Model. In Proceedings of the 24th Annual Meeting of the Cognitive Science Society, Fairfax, VA: August, 2002. [PDF] [info]

Van Maanen, L. (2007). Mediating expert knowledge and visitor interest in art work recommendation. In proceedings of LWA 2007, Halle (Saale), Germany. [PDF] [info]

Van Maanen, L., Borst, J. P., Janssen, C. P., & Van Rijn, H. (2006). Memory structures as user models, In proceedings of the 13th Annual ACT-R Workshop. Pittsburgh, PA. [PDF] [info]

van Rijn, D. H., van Maanen, L., & van Woudenberg, M. (2009).Passing the test: Improving learning gains by balancing spacing and testing effects. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 200), Manchester, United Kingdom. [PDF] [info]

van Rijn, H., Someren, M., & van der Maas, H. (2000). Modeling developmental transitions in ACT-R. Simulating balance scale behavior by symbolic and subsymbolic learning. In Proceedings of the Third International Conference on Cognitive Modeling, pp. 226-233. Groningen: Universal Press. [PDF] [info]

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Veksler, V. D. (2009). Second-Life as a simulation environment: Rich, high-fidelity world, minus the hassles. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 231), Manchester, United Kingdom. [PDF] [info]

Veksler, V. D. & Gray, W. D. (2004). State definition in the Tetris task: designing a hybrid model of cognition. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 394-395). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [PDF] [info]

Wagenmakers, E. M., Zeelenberg, R., Schooler, L. J., & Raaijmakers, J. G. W. (2001). A criterion-shift model for enhanced discriminability in perceptual identification: A note on the counter model. Psychonomic Bulletin, & Review, 7, 718-726. [DOC] [info]

West, R.L, Emond B. (2002). SOS: A simple operating system for modeling HCI with ACT-R. Seventh Annual ACT-R Workshop. Pittsburgh, PA : Department of Psychology, Carnegie Mellon University, 2 p. [PDF] [info]

West, R. L. & Emond, B. (2004). The environment as theory: An example using the ACT-R/SOS environment. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 398-399). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [PDF] [info]

West, R. L. , Lebiere, C. & Bothell, D. J. (2006). Cognitive architectures, game playing, and human evolution. In R. Sun (ed.), Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press; New York, NY, 103-123. [PDF] [info]

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