Publications:

Stocco, A., Rice, P., Thomson, R., Smith, B. M., Morrison, D., & Lebiere, C. (2023). An Integrated Computational Framework for the Neurobiology of Memory Based on the ACT-R Declarative Memory System. Computational Brain and Behavior. https://doi.org/10.1007/s42113-023-00189-y
Anderson, J. R., Betts, S., Bothell, D., & Lebiere, C. (2021). Discovering Skill. Cognitive Psychology, 129.
Anderson, J.R., Betts, S., Bothell, D., Hope, R., Lebiere, C. (2019) Learning Rapid and Precise Skills. Psychological Review, 126(5), 727-760.
Lebiere, C., Bothell, D., Morrison, D., Oltramari, A., Romero, O., Thomson, R., & Vinokurov, J. (2015). Strong CogSci: Guidance from Cognitive Science On the Design of a Test of Artificial Intelligence. In Rossi, F (Ed), Beyond The Turing Test Workshop Proceedings of the 29th AAAI Conference. Austin, TX.
Lebiere, C., Bennati, S., Thomson, R., Shakarian, P., & Nunes, E. (2015). Functional Cognitive Models of Malware Identification. In N. Taatgen (Ed), Proceedings of the 13th Annual Conference on Cognitive Modeling. Groningen, Netherlands.
Thomson, R. Lebiere, C., Bennati, S., Shakarian, P., & Nunes, E. (2015). Malware Identification Using Cognitively-Inspired Inference. In Proceedings of the 24th Annual Behavior Representation in Modeling and Simulation Conference. Washington, DC.
Thomson, R., Lebiere, C., Anderson, J. R., & Staszewski, J. (2015). A General Instance-Based Learning Framework for Studying Intuitive Decision Making in a Cognitive Architecture. Journal of Applied Research in Memory and Cognition; Special Issue on Modeling and Aiding Intuitions in Organizational Decision Making.
Thomson, R. Lebiere, C., & Bennati, S. (2014). Human, Model, and Machine: A Complementary Approach to Big Data. In Association for Computing Machinery Proceedings of the IARPA Workshop on Human Centered Big Data Research. Raleigh, NC. doi:10.1145/2609876.2609883
Thomson, R. Lebiere, C., & Bennati, S. (2014). A General Instance-Based Model of Sensemaking in a Functional Architecture. In Proceedings of the 23rd Annual Behavior Representation in Modeling and Simulation Conference. Washington, DC.
Thomson, R., Bennati, S., & Lebiere, C. (2014). Extending the Influence of Contextual Information in ACT-R using Buffer Decay. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
Thomson, R. & Lebiere, C. (2013). A Balanced Hebbian Algorithm for Associative Learning in ACT-R. R. West & T. Stewart (Eds.) Proceedings of the 12th International Conference on Cognitive Modeling. Ottawa: Canada.
Lebiere, C., Pirolli, P., Thomson, R., Paik, J., Rutledge-Taylor, M., Staszewski, J., & Anderson, J. (2013). A Functional Model of Sensemaking in a Neurocognitive Architecture. Computational Intelligence and Neuroscience; Special Issue on Neurocognitive Models of Sense Making.
Paik, J., Pirolli, P., Dong, W., Lebiere, C., & Thomson, R. (2013). An ACT-R Model of Sensemaking in a Geospatial Intelligence Task. In Proceedings of the 22nd Annual Conference on Behavior Representation in Modeling and Simulation.
Oltramari, A. & Lebiere, C. (2012). Pursuing Artificial General Intelligence By Leveraging the Knowledge Capabilities Of ACT-R. In Proceedings of the Fifth Conference on Artificial General Intelligence (AGI 2011). Oxford, England, Oxford, December 8-11.
Oltramari, A. & Lebiere, C. (2012). Using Ontologies in a Cognitive-Grounded System: Automatic Action Recognition in Video Surveillance. In Proceedings of the Seventh International Conference on Semantic Technology for Intelligence, Defense, and Security. Fairfax, Virginia, USA.
Stocco, A., Lebiere, C., O'Reilly, R. C., & Anderson, J. R. (2012). Distinct contributions of the caudate nucleus, rostral prefrontal cortex, and parietal cortex to the execution of instructed tasks. Cognitive, Affective, & Behavioral Neuroscience, 12, 611-628.
Thomson, R., Lebiere, C., Rutledge-Taylor, M., Staszewski, J., & Anderson, J. R. (2012). Understanding Sensemaking Using Functional Architectures. In T. Jambrowski (Ed.) Proceedings of the 21st Annual Behavior Representation in Modeling and Simulation Conference. Dayton, OH.
Rutledge-Taylor, M., Lebiere, C., Thomson, R., Staszewski, J., & Anderson, J. R. (2012). A Comparison of Rule-Based versus Exemplar-Based Categorization Using the ACT-R Architecture. In Proceedings of the 21st Annual Behavior Representation in Modeling and Simulation Conference.
Oltramari, A. & Lebiere, C. (2011). Extending Cognitive Architectures with Semantic Resources. In Proceedings of the Fourth Conference on Artificial General Intelligence (AGI 2011), Mountain View, California, USA, August 3-6.
Reitter, D.& Lebiere, C. (2001). Towards cognitive models of communication and group intelligence. In Proceedings of the 33rd Annual Meeting of the Cognitive Science Society (pp.734-739). Boston, MA, July 2011.
Reitter, D. & Lebiere, C. (2011). How groups develop a specialized domain vocabulary: A cognitive multi-agent model. Cognitive Systems Research, 12, 175-185.
Lebiere, C. & Anderson. J. R. (2011). Cognitive constraints on decision making under uncertainty. Frontiers in Cognition: Psychology.
Mehlhorn, K., Taatgen, N.A., Lebiere, C., & Krems, J.F. (2011). Memory Activation and the Availability of Explanations in Sequential Diagnostic Reasoning. Journal of Experimental Psychology: Learning, Memory, & Cognition, 37, 1391-1411.
Stocco, A., Lebiere, C., & Anderson, J. R. (2010). Conditional routing of information to the cortex: A model of the basal ganglia’s role in cognitive coordination. Psychological Review, 117(2), 540-574.
Stocco, A., Lebiere, C., O'Reilly, R. C., & Anderson, J. R. (2010). The role of the anterior prefrontal-basal ganglia circuit as a biological instruction interpreter. In A. V. Samsonovich, K. R. Jóhannsdóttir, A. Chella, & B. Goertzel (Eds.) Biologically Inspired Cognitive Architectures 2010. Frontiers in Artificial Intelligence and Applications, (pp. 153-162). Amsterdam, The Netherlands: IOS Press.
Reitter, D. & Lebiere, C. (2010). Accountable modeling in ACT-UP, a sclable, rapid-prototyping ACT-R implementation. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 199-204). Philadelphia, PA: Drexel University.
Reitter, D. & Lebiere, C. (2010). A cognitive model of spatial path planning. Computational and Mathematical Organization Theory, 16(3):220-245.
Reitter, D., Juvina, I., Stocco, A., & Lebiere, C. (2010). Resistance is futile: Winning lemonade market share through metacognitive reasoning in a three-agent cooperative game. In Proceedings of the 19th Conference on Behavioral Representation in Modeling and Simulation (BRIMS). Charleston, S.C.
Reitter, D. & Lebiere, C. (2009). Towards explaining the evolution of domain languages with cognitive simulation. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 176), Manchester, United Kingdom.
Lebiere, C. & Best, B. J. (2009). Balancing Long-Term Reinforcement and Short-Term Inhibition. In Proceedings of the 31st Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
Stocco, A., Lebiere, C., & Anderson, J. R. (2009). Dopamine, learning, and production rules: The basal ganglia and the flexible control of information transfer in the brain. In A. Samsonovich (Ed.) Biologically Inspired Cognitive Architectures II (pp. 169-175), AAAI Press.
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.
Jilk, D.J., Lebiere, C., O’Reilly, R. C., & Anderson, J. R. (2008) SAL: An explicitly pluralistic cognitive architecture. Journal of Experimental and Theoretical Artificial Intelligence, 20, 197-218.
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.
Jones, R. M., Lebiere, C., & Crossman, J. A. (2007). Comparing modeling idioms in ACT-R and Soar. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.
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.
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 representation languages revisited. Symposium at Trieste: Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 404-407). Trieste, Italy.
Taatgen, N.A., Lebiere, C. & Anderson, J.R. (2006). Modeling Paradigms in ACT-R. In R. Sun (ed.), Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press; 29-52.
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.
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.
Lebiere, C. (2005). Constrained functionality: Application of the ACT-R cognitive architecture to the AMBR modeling comparison. In K. A. Gluck and R. Pew, editors, Modeling Human Behavior With Integrated Cognitive Architectures, Mahwah, NJ: Erlbaum.
West, R. L., Stewart, T. C., Lebiere, C., & Chandrasekharan, S. (2005). Stochastic resonance in human cognition: ACT-R vs. game theory, associative neural networks, recursice neural networks, q-learning, and humans. In B. Bara, L. Barsalou & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.
Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., & Qin, Y . (2004). An integrated theory of the mind. Psychological Review 111, (4). 1036-1060.
Rehling, J., Lovett, M., Lebiere, C., Reder, L. M., & Demiral, B. (2004) Modeling complex tasks: An individual difference approach. In proceedings of the 26th Annual Conference of the Cognitive Science Society (pp. 1137-1142) . August 4-7, Chicago, USA
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.
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.
Rehling, J., Demiral, B., Lebiere, C., Lovett, M., & Reder, L. M. (2003). Modeling individual difference factors in a complex task environment. In F. Detje, D. Doerner, & H. Schaub (Eds.), In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 287-288). Bamberg, Germany: Universitats-Verlag Bamberg.
Gonzalez, C., Lerch, F. J., & Lebiere, C. (2003). Instance-based learning in real-time dynamic decision making. Cognitive Science 27 (4), 591-635.
Best, B. J. & Lebiere, C. (2003). Spatial Plans, Communication, and Teamwork in Synthetic MOUT Agents. In Proceedings of the 12th Conference on Behavior Representation In Modeling and Simulation.
Anderson, J. R. & Lebiere, C. L. (2003). The Newell test for a theory of cognition. Behavioral & Brain Science 26, 587-637
Lebiere, C., & Shang, J. (2002). A cognitive architecture-based theory of meliorative behavior. In Proceedings of the 8th Behavioral Decision Research in Management Conference (BDRM). Chicago, IL.
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.
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.
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.
Lebiere, C., Biefeld, E., Archer, R., Archer, S., Allender, L., & Kelley, T. (2002). IMPRINT/ACT-R: Integration of a task network modeling architecture with a cognitive architecture and its application to human error modeling. In Proceedings of the Advanced Technologies Simulation Conference. San Diego, CA.
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.
Lebiere, C. (2002). Modeling group decision making in the ACT-R cognitive architecture. In Proceedings of the 2002 Computational Social and Organizational Science (CASOS). June 21-23, Pittsburgh, PA.
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.
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.
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.
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.
Lebiere, C. (2001). A theory-based model of cognitive workload and its applications. In Proceedings of the 2001 Interservice/Industry Training, Simulation and Education Conference (I/ITSEC). Arlington, VA: NDIA.
Sanner, S., Anderson, J. R., Lebiere, C., & Lovett, M. (2000). Achieving efficient and cognitively plausible learning in backgammon. In Proceedings of the Seventeenth International Conference on Machine Learning (pp. 823-830). San Francisco: Morgan Kaufmann.
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.
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.
Lebiere, C. (1999). The dynamics of cognition: An ACT-R model of cognitive arithmetic. Kognitionswissenschaft., 8 (1), pp. 5-19.
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.
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.
Lovett, M. C., Reder, L. M., & Lebiere, C. (1999). Modeling working memory in a unified architecture: An ACT-R perspective. In A. Miyake & P. Shah (Eds.) Models of Working Memory, pp. 135-182. Cambridge, MA: Cambridge.
Anderson, J. R., Bothell, D., Lebiere, C. & Matessa, M. (1998). An integrated theory of list memory. Journal of Memory and Language, 38, 341-380.
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.
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/.
Wallach, D. & Lebiere, C. (1998). Modellierung von Wissenserwerbsprozessen bei der Systemregelung [Modeling of knowledge acquisition processes in system control]. In W. Krause und U. Kottkamp (Hrsg.). Intelligente Informationsverarbeitung (pp. 93-101). Wiesbaden: Deutscher Universitätsverlag.
Anderson, J. R. & Lebiere, C. (1998). The atomic components of thought. Mahwah, NJ: Erlbaum.
Anderson, J. R., Matessa, M., & Lebiere, C. (1997). ACT-R: A theory of higher level cognition and its relation to visual attention. Human Computer Interaction, 12(4), 439-462.
Lovett, M. C., Reder, L. M., & Lebiere, C. (1997). Modeling individual differences in a digit working memory task. In Proceedings of the Nineteenth Conference of the Cognitive Science Society, pp. 460-465. Mahwah, NJ: Erlbaum.
Anderson, J. R., Reder, L. M. & Lebiere, C. (1996). Working memory: Activation limitations on retrieval. Cognitive Psychology, 30(3), 221-256.
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.
Lebiere, C. & Anderson, J. R. (1993). A Connectionist Implementation of the ACT-R Production System. In Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society, pp. 635-640.

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Department of Psychology, Carnegie Mellon University