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P. N. Johnson-Laird, Khemlani, S. S., and Goodwin, G. P., Logic, Probability, and Human Reasoning, Trends in Cognitive Sciences Journal, vol. 19, no. 4, pp. 201-214, 2015.PDF icon Download PDF (904.19 KB)
P. N. Johnson-Laird, Khemlani, S. S., and Goodwin, G. P., Logic, probability, and human reasoning, Trends in Cognitive Reasoning, vol. 19, pp. 201-214, 2015.PDF icon Download PDF (863.75 KB)
A. B. Sussman, Khemlani, S. S., and Oppenheimer, D. M., Latent scope bias in categorization, Journal of Experimental Social Psychology, vol. 52, pp. 1-8, 2014.PDF icon Download PDF (919.3 KB)
J. G. Trafton and Ratwani, R. M., The Law of Unintended Consequences: The Case of External Subgoal Support, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, Toronto, pp. 1767-1776, 2014.PDF icon Download PDF (769.66 KB)
M. Molineaux and Aha, D. W., Learning models for unknown events, University of Maryland, College Park, Department of Computer Science, College Park, MD, CS-TR-5029, 2014.PDF icon Download PDF (323.53 KB)
W. Lawson, Hiatt, L. M., and J Trafton, G., Leveraging cognitive context for object recognition, Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Columbus, OH, pp. 381-386, 2014.PDF icon Download PDF (358.83 KB)
L. K. McDowell and Aha, D. W., Labels or attributes? Rethinking the neighbors for collective classification in sparsely-labeled networks, in International Conference on Information and Knowledge Management, San Francisco, CA, 2013.PDF icon Download PDF (338.46 KB)
F. Tamborello and J Trafton, G., A long-term competitive process model of a common procedural error, Proceedings of the 35th annual conference of the cognitive science society. Cognitive Science Society, Austin, TX, pp. 3498-3503, 2013.PDF icon Download PDF (690.19 KB)
F. Tamborello and Gregory Trafton, J., A Long-Term Memory Competitive Process Model of a Common Procedural Error, Part II: Working Memory Load and Capacity, Proceedings of the International Conference on Cognitive Modeling. ICCM, Ottawa, Canada, 2013.PDF icon Download PDF (311.44 KB)
B. Morris, Aha, D. W., Auslander, B., and Gupta, K., Learning and leveraging context for maritime threat analysis: Vessel classification using Exemplar-SVM, Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence, Washington, DC, 2012.PDF icon Download PDF (12.44 MB)
U. Jaidee, Muñoz-Avila, H., and Aha, D. W., Learning and Reusing Goal-Specific Policies for Goal-Driven Autonomy, Proceedings of the Twentieth International Conference on Case-Based Reasoning. Springer Berlin Heidelberg, Lyon, France, pp. 182-195, 2012.PDF icon Download PDF (769.27 KB)
M. Molineaux, Aha, D. W., and Kuter, U., Learning event models that explain anomalies, in Explanation-Aware Computing: Papers from the IJCAI Workshop, Barcelona Spain, 2011.PDF icon Download PDF (170.83 KB)
W. G. Kennedy and Trafton, J. G., Long-term symbolic learning, Cognitive Systems Research, vol. 8, no. 3, pp. 237 - 247, 2007.PDF icon Download PDF (230.26 KB)
W. G. Kennedy and Trafton, J. G., Long-Term Symbolic Learning in Soar and ACT-R, Seventh International Conference on Cognitive Modeling. Trieste, Italy, pp. 166-171, 2006.PDF icon Download PDF (447.7 KB)