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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)
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)
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)
J. J. Grefenstette, Ramsey, C. L., and Schultz, A. C., Learning Sequential Decision Rules Using Simulation Models and Competition, Machine Learning, vol. 5, pp. 355-381, 1990.PDF icon Download PDF (2.51 MB)
B. Auslander, Floyd, M. W., Apker, T., Johnson, B., Roberts, M., and Aha, D. W., Learning to Estimate: A Case-Based Approach to Task Execution Prediction, Conference on Case-Based Reasoning. Frankfurt, Germany, 2015.PDF icon Download PDF (884.97 KB)
M. W. Floyd, Drinkwater, M., and Aha, D. W., Learning Trustworthy Behaviors Using an Inverse Trust Metric, 2015.PDF icon Download PDF (569.33 KB)
W. Lawson, Hiatt, L. M., and Trafton, J. 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)
W. G. Kennedy, Bugajska, M. D., Harrison, A. M., and Trafton, J. G., "Like-Me" simulation as an effective and cognitively plausible basis for social robotics, International Journal of Social Robotics, vol. 1, pp. 181-194, 2009.PDF icon Download PDF (553.17 KB)
L. Breslow, Harrison, A. M., and Trafton, J. G., Linguistic Spatial Gestures. 2010.PDF icon Download PDF (329.09 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)
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)
D. Sofge and Whitman, J. S., Long-range near-optimal path planning for gliders in complex high-energy environments, Proceedings of the IEEE Conference on Autonomous Underwater Vehicles. IEEE/OES, 2010.PDF icon Download PDF (749.84 KB)
F. Tamborello and Trafton, J. 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)
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)
R. M. Ratwani and Trafton, J. G., Making Graphical Inferences: A Hierarchical Framework, The Proceedings of the twenty-sixth annual cognitive science society. Erlbaum, Chicago, IL, 2004.PDF icon Download PDF (289.09 KB)
F. Pipitone, Manifold Learning for Compression and Generalization of Euclidean Invariant Signatures of Surface Shapes, SPIE: Active and Passive Signatures, vol. 7687. SPIE, 2010.
D. W. Aha, Gupta, K., and Auslander, B., Maritime threat detection, NRL Review, pp. 123-125, 2012.PDF icon Download PDF (396.38 KB)
B. Auslander, Gupta, K., and Aha, D. W., Maritime threat detection using plan recognition, in Annual IEEE Conference on Technologies for Homeland Security, Boston, MA, 2012.PDF icon Download PDF (908.29 KB)
B. Auslander, Gupta, K., and Aha, D. W., Maritime Threat Detection Using Probabilistic Graphical Models, Proceedings of the Twenty-Fifth Florida Artificial Intelligence Research Society Conference. AAAI Press, Marco Island, FL, 2012.PDF icon Download PDF (689.26 KB)
E. M. Altmann and Trafton, J. G., Memory for goals: An activation-based model, Cognitive Science, vol. 26, pp. 39-83, 2002.PDF icon Download PDF (391.95 KB)
J. G. Trafton, Altmann, E. M., and Ratwani, R. M., A memory for goals model of sequence errors, Cognitive Systems Research, vol. 12, pp. 134-143, 2011.PDF icon Download PDF (691.67 KB)