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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. K. McDowell and Aha, D. W., Leveraging Neighbor Attributes for Classification in Sparsely-Labeled Networks, ACM Transactions on Knowledge Discovery from Data, vol. 11, no. 1, 2016.PDF icon Download PDF (562.64 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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
M. Roberts, Vattam, S., Alford, R., Auslander, B., Karneeb, J., Molineaux, M., Apker, T., Wilson, M., McMahon, J., and Aha, D. W., Iterative goal refinement for robotics, Planning and Robotics: Papers from the ICAPS Workshop. AAAI Press, Portsmouth, NH, 2014.PDF icon Download PDF (704.64 KB)
W. F. Lawless and Sofge, D. A., The Intersection of Robust Intelligence and Trust: Hybrid Teams, Firms, and Systems, AAAI, Palo Alto, CA, AAAI Technical Report SS-14-04, 2014.PDF icon Download PDF (682.76 KB)
K. Zish and Trafton, J. G., Interruption Practice Reduces Procedural Errors at the Post-Completion Step, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 58, 1 vol. pp. 265-269, 2014.PDF icon Download PDF (273.39 KB)
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.PDF icon Download PDF (1.5 MB)
K. Ma, Wilson, M. A., and Aha, D. W., Integrating Reinforcement Learning Algorithms with Underwater Vehicles, Navy Center for Applied Research on Artificial Intelligence, 2016.PDF icon Download PDF (133.15 KB)
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.PDF icon Download PDF (465.82 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.PDF icon Download PDF (167.43 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.PDF icon Download PDF (178.91 KB)
B. A. W. Jensen, Karneeb, J., Borck, H., and Aha, D. W., Integrating AFSIM as an internal predictor, Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence, Washington, DC, AIC-14-172, 2014.PDF icon Download PDF (415.56 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.PDF icon Download PDF (504.79 KB)
W. Bridewell and Bello, P. F., Incremental Object Perception in an Attention-Driven Cognitive Architecture, 37th Annual Meeting of the Cognitive Science Society . Atlanta, Georgia , 2015.PDF icon Download PDF (210.77 KB)