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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. 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. Download PDF (2.51 MB)
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. 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. Download PDF (553.17 KB)
L. Breslow, Harrison, A. M., and Trafton, J. G., Linguistic Spatial Gestures. 2010. 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. Download PDF (863.75 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. Download PDF (749.84 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. 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. 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. 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. Download PDF (447.7 KB)
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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. 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. 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. 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. 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. 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. Download PDF (691.67 KB)
S. S. Khemlani, Lotstein, M., and Johnson-Laird, P., A mental model theory of set membership, Proceedings of the 36th Annual Conference of the Cognitive Science Society. Cognitive Science Society, Quebec City, Canada, pp. 2489-2494, 2014. Download PDF (414.94 KB)
L. K. McDowell, Gupta, K., and Aha, D. W., Meta-prediction in collective classification, in Florida Artificial Intelligence Research Society Conference, Daytona Beach, FL, 2010. Download PDF (648.07 KB)
D. A. Sofge, Sydney, N., Paley, D., Apker, T., Sullivan, K., and Kuhlman, M. J., Mobile Autonomous Navy Teams for Information Surveillance and Search (MANTISS), in Workshop on Crossing the Reality Gap: Control, Human Interaction and Cloud Technology for Multi- and Many-Robot Systems, 2014 IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, 2014. Download PDF (3 MB)
B. Yamauchi, Schultz, A. C., and Adams, W., Mobile robot exploration and map-building with continuous localization, in Proceedings of the 1998 IEEE International Conference on Robotics and Automation, Leuven, 1998. Download PDF (654.66 KB)
M. C. Lohrenz, Trafton, J. G., Beck, M. R., and Gendron, M. L., A model of clutter for complex, multivariate geospatial displays, Human Factors, vol. 51, pp. 90-101, 2009. Download PDF (681.54 KB)
B. McClimens and Brock, D. P., Modeling Attention Allocation in a Complex Dual Task With and Without Auditory Cues, in The 16th International Conferenece on Human Computer Interaction, Orlando, FL, 2011. Download PDF (148.29 KB)
D. C. Uthus and Aha, D. W., Multiparticipant chat analysis: A survey, Artificial Intelligence, vol. 199-200, pp. 106 - 121, 2013. Download PDF (433.18 KB)

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