ACT-R

Publications about Learning and Memory

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Fincham, J. M., 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]

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

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

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

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

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

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

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

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

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

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. [PDF] [info]

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

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

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

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

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. [PDF] [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. [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]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Sohn, M.-H., Anderson, J. R., Reder, L. M., & Goode, A. (2004) Differential fan effect and attentional focus. Psychonomic Bulletin and Review11(4), 729-734. [PDF] [info]

Stocco, A., Lebiere, C., & Anderson, J. R. (2008). Procedural Learning and Sequential Control of Behavior in a Neural Network Model of the Basal Ganglia. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA, pp. 210-211. [DOC] [info]

Stocco, A., Lebiere, C., & Anderson, J. R. (submitted). Conditional routing of information to the cortex: A model of the basal ganglia’s role in cognitive coordination. Psychological Review. [Model] [info]

Taatgen, N. A. (1999). A model of learning task-specific knowledge for a new task. In Proceedings of the twenty-first annual conference of the Cognitive Science Society (pp. 730-735). Mahwah, NJ: Erlbaum. [PDF] [info]

Taatgen, N. A. (1999). Learning without limits: from problem solving toward a unified theory of learning. Doctoral Dissertation, University of Groningen, The Netherlands. [PDF] [info]

Taatgen, N. A. (2002). A model of individual differences in skill acquisition in the Kanfer-Ackerman Air Traffic Control Task. Cognitive Systems Research, 3(1), 103-112. (ACT-R 4) [PDF] [info]

Taatgen, N.A., Huss, D. & Anderson, J.R. (2008). The Acquisition of Robust and Flexible Cognitive Skills. Journal of Experimental Psychology: General, 137(3), 548-565. [PDF][Model for Experiment 2][Model for Experiment 1] [info]

Taatgen, N.A. & Lee, F.J. (2003). Production Compilation: A simple mechanism to model Complex Skill Acquisition. Human Factors, 45(1), 61-76. [PDF] [info]

Taatgen, N. A. & Wallach, D. (2002). Whether skill acquisition is rule or instance based is determined by the structure of the task. Cognitive Science Quarterly, 2(2), 163-204. [PDF] [info]

Tamborello, F. P., II, & Byrne, M. D. (2007). Fast Learning in a Simple Probabilistic Visual Environment: A Comparison of ACT-R’s Old PG-C and New Reinforcement Learning Algorithms. In Proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [PDF] [info]

Terao, A., Koedinger K., Sohn, M-H., Anderson, J. R., & Carter, C. S. (2004). An fMRI study of the interplay of visual-spatial systems in mathematical reasoning. In Proceedings of the 26th Annual Conference of the Cognitive Science Society (pp. 1327-1332). August 4-7, Chicago, USA. [PDF] [info]

Trafton, J. G., Altmann, E. M., Brock, D. P., & Mintz, F. E. (2003). Preparing to resume an interrupted task: Effects of prospective goal encoding and retrospective rehearsal. International Journal of Human-Computer Studies, 58, 583-603. [PDF] [info]

van Maanen, L. & van Rijn D. H. (2009). The locus of the gratton effect in picture-word interference. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 187), Manchester, United Kingdom. [PDF] [info]

Van Maanen, L. & Van Rijn, H. (2005) RACE for retrieval: Competitive effects in memory retrieval. In Proceedings of the 12th Annual ACT-R Workshop. Trieste, Italy. [PDF] [info]

van Maanen, L. & van Rijn, H. (2006). An accumulator model account of sematic interference in memory retrieval. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 322-327). Trieste, Italy. [PDF] [info]

van Maanen, L. & van Rijn, H. (2007). Accounting for Subliminal Priming in ACT-R. In proceedings of 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [PDF] [info]

Van Maanen, L., & Van Rijn, H. (2007). An accumulator model of semantic interference. Cognitive Systems Research, 8(3), 174-181. [PDF] [info]

Van Maanen, L., & Van Rijn, H. (2008). The picture-word interference effect is a stroop effect after all. In V. Sloutsky, B. Love & K. McRae (Eds.), In proceedings of 30th Annual Meeting of the Cognitive Science Society. Washington DC. [PDF] [info]

Vasishth, S., Brüssow, S., Lewis, R. L., & Drenhaus, H. (in press). Processing polarity: How the grammatical intrudes on the ungrammatical. Cognitive Science. [PDF] [Document] [info]

Wallach, D. & C. Lebiere, C. (2000). Learning of event sequences: An architectural approach. In N. Taatgen (Ed.). In Proceedings of the Third International Conference on Cognitive Modeling, pp. 271-279. Groningen: Universal Press. [PDF] [info]

Wallach, D., & Lebiere, C. (2002). On the role of instances in complex skill acquisition. In Proceedings of the 43rd Conference of the German Psychological Association. [info]

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