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M
D. W. Aha, Gupta, K. M., and Auslander, B., Maritime threat detection, NRL Review, pp. 123-125, 2012. Download PDF (396.38 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.
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)
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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)
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)
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)
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)
D. A. 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)
L. A. Breslow, Harrison, A. M., and Trafton, J. G., Linguistic Spatial Gestures. 2010. Download PDF (329.09 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)
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)
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. Download PDF (170.83 KB)
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. Download PDF (769.27 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. Download PDF (12.44 MB)
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. Download PDF (769.66 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. Download PDF (338.46 KB)
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J. G. Trafton, Bugajska, M. D., Fransen, B. R., and Ratwani, R. M., Integrating vision and audition within a cognitive architecture to track conversations, in Proceedings of the Third International Conference on Human Robot Interaction (HRI 2008), Amsterdam, 2008. Download PDF (1.5 MB)
A. C. Schultz, Adams, W., and Yamauchi, B., Integrating Exploration, Localization, Navigation and Planning with a Common Representation, Autonomous Robots, vol. 6, no. 3, pp. 293–308, 1999. Download PDF (465.82 KB)
N. Cassimatis, Trafton, J. G., Bugajska, M. D., and Schultz, A. C., Integrating Cognition, Perception and Action through Mental Simulation in Robots, Journal of Robotics and Autonomous Systems, vol. 49, no. 1-2, pp. 12-23, 2004. Download PDF (178.91 KB)
N. Cassimatis, Trafton, J. G., Schultz, A. C., and Bugajska, M. D., Integrating Cognition, Perception and Action through Mental Simulation in Robots, in Proceedings of the 2004 AAAI Spring Symposium on Knowledge Representation and Ontology for Autonomous Systems, 2004, pp. 1-8. Download PDF (167.43 KB)
U. Jaidee, Muñoz-Avila, H., and Aha, D. W., Integrated learning for goal-driven autonomy, in Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, Barcelona, Spain, 2011. Download PDF (504.79 KB)
W. G. Kennedy, Bugajska, M. D., Adams, W., Schultz, A. C., and Trafton, J. G., Incorporating Mental Simulation for a More Effective Robotic Teammate, in Proceedings of the Twenty-Third Conference on Artificial Intelligence (AAAI 2008), Vancouver, 2008. Download PDF (114.22 KB)
K. Laviers, Sukthankar, G., Molineaux, M., and Aha, D. W., Improving offensive performance through opponent modeling, in Conference on Artificial Intelligence and Interactive Digital Entertainment, Stanford, CA, 2009. Download PDF (0 bytes)
E. Martinson, Lawson, W., and Trafton, J. G., Identifying people with soft-biometrics at fleet week, in Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction, Piscataway, NJ, USA, 2013. Download PDF (1.06 MB)
S. B. Trickett and Trafton, J. G., “I don’t know what’s going on there”: The Use of Spatial Transformations to Deal With and Resolve Uncertainty in Complex Visualizations. 2007. Download PDF (4.15 MB)

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