Export 337 results:
Title Type [ Year(Asc)]
2017
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)
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)
A. M. C. Isaac and Bridewell, W., White lies on silver tongues: why robots need to deceive (and how), in Robot Ethics 2.0: New Challenges in Philosophy, Law, and Society, New York, NY: Oxford University Press , 2017, pp. 157-172.PDF icon Download PDF (471.25 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)
S. S. Khemlani, Automating Human Inference, International Joint Conference on Artificial Intelligence (IJCAI-16). New York, NY, 2016.PDF icon Download PDF (90.74 KB)
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)
P. Pehrsson, Field, C., Hammond, M., Ratchford, D., Chervin, C., Sofge, D., Sullivan, K., Rolison, D., and Rose-Pehrsson, S., Carbon monoxide plume detection with nanowire-based sensors mounted on an unmanned ground vehicle, IMCS 2016 - The 16th International Meeting on Chemical Sensors. Jeju Island, Korea, 2016.PDF icon Download PDF (182.57 KB)
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)
V. Shivashankar, Alford, R., Roberts, M., and Aha, D. W., Cost-Optimal Algorithms for Hierarchical Goal Network Planning: A Preliminary Report, in HSDIP Workshop, International Conference on Automated Planning and Scheduling, London, England, 2016.PDF icon Download PDF (454.19 KB)
V. Shivashankar, Alford, R., Roberts, M., and Aha, D. W., Cost-Optimal Algorithms for Planning with Procedural Control Knowledge, European Conference on Artificial Intelligence. IOS Press, The Hauge, The Netherlands, 2016.PDF icon Download PDF (667.38 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)
K. A. Frazer, Vattam, S. S., and Aha, D. W., Flexible Plan-Subplan Matching for Plan Recognition in Case-Based Agents, International Conference on Case-Based Reasoning, Workshop on Case-Based Agents. Frankfurt, Germany, 2016.PDF icon Download PDF (810 KB)
M. Roberts, Shivashankar, V., Alford, R., Leece, M., Gupta, S. K., and Aha, D. W., Goal Reasoning, Planning, and Acting with ActorSim, The Actor Simulator, Conference on Advances in Cognitive Systems. Evanston, IL, 2016.PDF icon Download PDF (1.3 MB)
B. Johnson, Roberts, M., Apker, T., and Aha, D. W., Goal Reasoning with Information Measures, Conference on Advances in Cognitive Systems. Evanston, IL, 2016.PDF icon Download PDF (545.69 KB)
B. Johnson, Roberts, M., Apker, T., and Aha, D. W., Goal Reasoning with Informative Expectations, Planning Robotics Workshop, International Conference on Automated Planning and Scheduling. London, England, 2016.PDF icon Download PDF (717.74 KB)
L. N. Smith, Hand, E. M., and Doster, T., Gradual DropIn of Layers to Train Very Deep Neural Networks, IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas, Nevada, 2016.PDF icon Download PDF (579.44 KB)

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