Export 306 results:
Title Type [ Year(Asc)]
2017
D. W. Aha and Coman, A., The AI rebellion: Changing the Narrative, AAAI Conference on Artificial Intelligence. San Francisco, CA, 2017.PDF icon Download PDF (103.34 KB)
E. Grayson, Elmore, P., Sofge, D. A., and Petry, F., Autonomous UAV Search Planning with Possibilistic Inputs, IEEE World Congress on Computational Intelligence (IEEE WCCI 2016). Vancouver, Canada, 2017.PDF icon Download PDF (603.25 KB)
L. M. Hiatt, Cognitive Context as Cognitive Priming, 2017 AAAI Spring Symposium. Palo Alto, CA, 2017.PDF icon Download PDF (568.63 KB)
L. N. Smith, Cyclical Learning Rates for Training Neural Networks, WACV 2017: IEEE Winter Conference on Applications of Computer Vision. Santa Rosa, CA, 2017.PDF icon Download PDF (907.07 KB)
S. S. Khemlani and Johnson-Laird, P. N., Illusions in Reasoning, Minds & Machines, pp. 11–35, 2017.PDF icon Download PDF (655.35 KB)
P. N. Johnson-Laird and Khemlani, S. S., Mental models and causation. London: Oxford University Press, 2017, pp. 169-187.PDF icon Download PDF (321.17 KB)
S. S. Khemlani, Hinterecker, T., and Johnson-Laird, P. N., The provenance of modal inference, 39th Annual Meeting of the Cognitive Science Society. London, UK, 2017.PDF icon CogSci2017-Modal.pdf (483.72 KB)
A. Coman, Johnson, B., Briggs, G., and Aha, D. W., Social attitudes of AI rebellion: A framework, Workshop on AI, Ethics, & Society of the 2017 AAAI Conference on Artificial Intelligence. San Francisco, CA, 2017.PDF icon Download PDF (839.02 KB)
W. Hancock, Floyd, M. W., Molineaux, M., and Aha, D. W., Towards deception detection in a language-driven game, 2017 Florida AI Research Society (FLAIRS) Conference. Marco Island, FL, 2017.PDF icon Download PDF (539.42 KB)
M. W. Floyd, Turner, J. T., and Aha, D. W., Using Deep Learning to Automate Feature Modeling in Learning by Observation, 2017 Florida AI Research Society (FLAIRS) Conference. Marco Island, FL, 2017.PDF icon Download PDF (514.5 KB)
M. W. Floyd, Turner, J. T., and Aha, D. W., Using Deep Learning to Automate Feature Modeling in Learning by Observation: A Preliminary Study, 2017 AAAI Spring Symposium on Learning on Observing Humans. Stanford, CA, 2017.PDF icon Download PDF (492.34 KB)
2016
R. Thomson, Harrison, A. M., J. Trafton, G., and Hiatt, L. M., An Account of Interference in Associative Memory: Learning the Fan Effect, International Conference on Cognitive Modeling (ICCM 2016). University Park, PA: Penn State, 2016.PDF icon Download PDF (658.14 KB)
M. Roberts, Hiatt, L. M., Coman, A., Choi, D., Johnson, B., and Aha, D. W., ActorSim, A Toolkit for Studying Cross-disciplinary Challenges in Autonomy , 2016 AAAI Fall Symposium. Washington, DC, 2016.PDF icon Download PDF (927.72 KB)
P. Bello, Bridewell, W., and Wasylyshyn, C., Attentive and Pre-Attentive Processes in Multiple Object Tracking: A Computational Investigation, 38th Annual Meeting of the Cognitive Science Society. Philadelphia, Pennsylvania, 2016.PDF icon Download PDF (307.08 KB)
W. Lawson, Sullivan, K., Bekele, E., Hiatt, L. M., Goring, R., and J. Trafton, G., Automated Surveillance from a Mobile Robot , AAAI Fall Symposium-Artificial Intelligence for Human-Robot Interaction (Ai-HRI) 2016. Arlington, VA, 2016.PDF icon Download PDF (2.25 MB)
W. F. Lawless, Sofge, D. A., Chaudron, L., and Bartheye, O., Bistability, Nash Equilibria, Relatively Dark Collectives, and Social Physics: Modeling the Social Behavior of Teams, Journal of Enterprise Information, vol. 5, no. 4, pp. 241-274, 2016.PDF icon Download PDF (834.89 KB)
R. Alford, Behnke, G., Höller, D. H., Bercher, P., and Aha, D. W., Bound to Plan: Exploiting Classical Heuristics via Automatic Translations of Regularizable HTN Problems, 2016 International Conference on Automated Planning and Scheduling. London, England, 2016.PDF icon Download PDF (5.43 MB)
M. Otte, Kuhlman, M. J., and Sofge, D. A., Competitive Two Team Target Search Game with Communication Symmetry and Asymmetry, WAFR 2016: Workshop on the Algorithmic Foundations of Robots. San Francisco, CA, 2016.PDF icon Download PDF (519.54 KB)
K. Sullivan and Lawson, W., Deep Obstacle Avoidance, IJCAI-16 Workshop on Deep Learning for Artificial Intelligence. New York, NY, 2016.PDF icon Download PDF (9.73 MB)
W. Lawson, Hiatt, L. M., and Sullivan, K., Detecting Anomalous Objects on Mobile Platforms, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas, NV, 2016.PDF icon Download PDF (8.24 MB)
W. Curran, Brys, T., Aha, D. W., Taylor, M., and Smart, B., Dimensionality Reduced Reinforcement Learning for Assistive Robots, AAAI Fall Symposium - Artificial Intelligence for Human-Robot Interaction (Ai-HRI) 2016. Arlington, VA, 2016.PDF icon Download PDF (440.13 KB)
J. Karneeb, Floyd, M. W., Moore, P., and Aha, D. W., Distributed Discrepancy Detection for BVR Air Combat, 25th International Joint Conference on Artificial Intelligence Workshop on Goal Reasoning. New York, NY, 2016.PDF icon Download PDF (443.02 KB)
D. W. Yeo, Sydney, N., Paley, D., and Sofge, D., Downwash Detection and Avoidance with Small Quadrotor Helicopters, Journal of Guidance, Control and Dynamics, AIAA, pp. 1-20, 2016.PDF icon Download PDF (1.93 MB)
L. M. Hiatt, Lawson, W., Harrison, A. M., and J. Trafton, G., Enhancing Object Recognition With Dynamic Cognitive Context, The Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, AZ, 2016.PDF icon Download PDF (2.86 MB)
L. M. Hiatt and J. Trafton, G., Familiarity, Priming, and Perception in Similarity Judgments, Cognitive Science, 2016.PDF icon Download PDF (507.95 KB)

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