Publications in Game Playing

Dimov, C. M., Anderson, J. R., & Betts, S. A.(2024). Tight resource-rational analysis. Cognitive Systems Research 86. https://doi.org/10.1016/j.cogsys.2024.101239

Tracking the Cognitive Band in an Open-Ended Task

Seow, R. Y. T., Betts, S. A., & Anderson, J. R. (2021). A Decay-Based Account of Learning and Adaptation in Complex Skills. Journal of Experimental Psychology: Learning, Memory, and Cognition. Advance online publication.

Gianferrara P.G., Betts S., Anderson J.R. (2021) Cognitive & motor skill transfer across speeds: A video game study. PLoS ONE 16(10): e0258242.

Anderson, J. R., Betts, S., Bothell, D., & Lebiere, C. (2021). Discovering Skill. Cognitive Psychology, 129.

Morita, J., Miwa, K., Maehigashi, A., Terai, H., Kojima, K., and Ritter, F. E. (2020). Cognitive Modeling of Automation Adaptation in a Time Critical Task. Frontiers in Psychology (section Cognitive Science), doi: 10.3389/fpsyg.2020.02149.

Anderson, J.R., Bothell, D., Fincham, J.M., & Moon, J. (2016). The Sequential Structure of Brain Activation Predicts Skill. Neuropsychologia, 81, 94-106.

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.

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.

Moon, J., Betts, S. A., & Anderson, J. R. (2013). Individual differences and workload effects on strategy adoption in a dynamic task. Acta Psychologica, 144(1), 154-165.

Spiliopoulos, L. (2013). Strategic adaptation of humans playing computer algorithms in a repeated constant-sum game. Journal of Autonomous Agents and Multi-Agent Systems, 27(1), 131­160.

Moon, J., & Anderson, J. R. (2012). Modeling Millisecond Time Interval Estimation in Space Fortress Game. In Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 767-772). Sapporo, Japan.

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.

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.

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.

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.

Taatgen, N.A., van Oploo, M., Braaksma, J. & Niemantsverdriet, J. (2003). How to construct a believable opponent using cognitive modeling in the game of Set. In F. Detje, D Dörner and H. Schaub (eds.), Proceedings of the fifth international conference on cognitive modeling (pp. 201-206). Bamberg: Universitätsverlag Bamberg.

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.

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., & 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.

Ritter, F. E., & Wallach, D. P. (1998). Models of two-person games in ACT-R and Soar. In Proceedings of the Second European Conference on Cognitive Modelling. 202-203. Thrumpton: Nottingham University Press.

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Department of Psychology, Carnegie Mellon University