Jacob W. Crandall

Assistant Professor
Computing and Information Science
Masdar Institute of Science and Technology
Abu Dhabi, UAE

Research Affiliate
Massachusetts Institute of Technology
Cambridge, MA, USA

Phone: +971 2 698 8394
email: jcrandall at masdar dot ac dot ae


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Publications
 
Journal Articles
J. W. Crandall and M. A. Goodrich. Learning to Compete, Cooperate, and Compromise Using Reinforcement Learning. Machine Learning, 2010. To appear.
 
J. W. Crandall, M. L. Cummings, and C. E. Nehme. A Predictive Model for Human--Unmanned Vehicle Systems. AIAA Journal of Aerospace Computing, Information, and Communication, Vol 6, No. 11, pages 585-603, 2009. (preprint)
 
C. E. Nehme, Brian Mekdeci, J. W. Crandall, and M. L. Cummings. The Impact of Heterogeneity on Operator Performance in Futuristic Unmanned Vehicle Systems. Internation Command and Control Journal, Nov 2008.
 
J. W. Crandall and M. L. Cummings. Identifying Predictive Metrics for Supervisory Control of Multiple Robots. IEEE Transactions on Robotics, Vol. 23, No. 5, Oct 2007.
 
J. W. Crandall, M. A. Goodrich, D. R. Olsen, and C. W. Nielsen. Validating Human-Robot Interaction Schemes in Multi-Tasking Environments. IEEE Transactions on Systems, Man, and Cybernetics -- Part-A, Vol. 35, No. 4, Pages 438-449, July 2005.
 
Book Chapters
M. L. Cummings, C. Nehme, and J. W. Crandall, and P. J. Mitchell. Predicting Operator Capacity for Supervisory Control of Multiple UAVs. Innovations in Intelligent Machines, Vol. 70, Studies in Computational Intelligence, J. S. Chahl, L. C. Jain, A. Mizutani, and M. Sato-Ilic, Eds., Pages 11-36, 2007.
 
C. W. Nielsen, M. A. Goodrich, and J. W. Crandall. Experiments in Human-Robot Teams. Multi-Robot Systems: From Swarms to Intelligent Automata, Volume II, Editors Alan C. Shultz, Lynne E. Parker, Frank E. Schneider, Kluwer Academic publishers. Washington, D.C., March 2003.
 
Conference and Workshop Papers
J. W. Crandall, M. A. Goodrich, and L. Lin. Encoding Intelligent Agents for Uncertain, Unknown, and Dynamic Tasks: From Programming to Interactive Artificial Learning. AAAI Spring Symposium: Agents that Learn from Human Teachers, 2009.
 
C. P. Pina, M. L. Cummings, J. W. Crandall, and M. D. Penna. Identifying Generalizable Metric Classes to Evaluate Human-Robot Teams. HRI Workshop on Performance Metrics for Human-Robot Interaction, 2008.
 
C. E. Nehme, J. W. Crandall, and M. L. Cummings. An Operator Function Taxonomy for Unmanned Aerial Vehicle Missions. Proceedings of the 12th International Command and Control Research and Technology Symposium, 2007.
 
J. W. Crandall and M. L. Cummings. Attention Allocation Efficiency in Human-UV Teams. AIAA Infotech@Aerospace Conference, 2007.
 
J. W. Crandall and M. L. Cummings. Developing Performance Metrics for the Supervisory Control of Multiple Robots. Proceedings of the ACM/IEEEE International Conference on Human-Robot Interaction, 2007.
 
M. A. Goodrich, T. W. McLain, J. W. Crandall, J. Johansens, J. Anderson, J. Sun. Managing Autonomy in Robot Teams: Observations from Four Experiments. Proceedings of the ACM/IEEEE International Conference on Human-Robot Interaction, 2007.
 
J. W. Crandall and M. A. Goodrich. Learning to Compete, Compromise, and Cooperate in Repeated General-Sum Games. In Proceedings of the 22nd International Conference on Machine Learning, 2005.
(Note: This version of the paper corrects Figure 3, which was mislabeled in the published proceedings.)
 
J. W. Crandall and M. A. Goodrich. Learning to Teach and Follow in Repeated Games. In AAAI Workshop on Multiagent Learning, 2005.
 
J. W. Crandall and M. A. Goodrich. Learning Near-Pareto Efficient Solutions With Minimal Knowledge Requirements Using Satisficing. In AAAI Fall Symposium: Artificial Multiagent Learning, 2004.
 
M. A. Goodrich, E. R. Boer, J. W. Crandall, R. W. Ricks, and M. L. Quigley. Behavioral Entropy in Human-Robot Interaction. In NIST's Performance Metrics for Intelligent Systems Workshop, 2004.
 
J. W. Crandall and M. A. Goodrich. Establishing Reputation Using Social Commitment in Repeated Games. In AAMAS'04 Workshop on Learning and Evolution in Agent Based Systems, 2004.
 
J. W. Crandall and M. A. Goodrich. Multiagent Learning During On-Going Human-Machine Interactions: The Role of Reputation. In AAAI Spring Symposium: Interaction between Humans and Autonomous Systems over Extended Operation, 2004.
 
J. W. Crandall, C. W. Nielsen, and M. A. Goodrich. Towards Predicting Robot Team Performance. In 2003 IEEE International Conference on Systems, Man, and Cybernetics, 2003.
 
J. W. Crandall and M. A. Goodrich. Measuring the Intelligence of a Robot and its Interface. NIST's Performance Metrics for Intelligent Systems Workshop, 2003.
 
M. A. Goodrich, J. W. Crandall, and J. R. Stimpson. Neglect Tolerant Teaming: Issues and Dilemmas. In AAAI Spring Symposium on Human Interaction with Autonomous Systems in Complex Environments, 2003.
 
J. W. Crandall and M. A. Goodrich. Principles of Adjustable Interactions. In AAAI Fall Symposium on Human-Robot Interactions, 2002.
 
J. W. Crandall and M. A. Goodrich. Characterizing Efficiency of Human-Robot Interaction: A Case Study of Shared-Control Teleoperation. In 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2002.
 
J. W. Crandall and M. A. Goodrich. Experiments in Adjustable Autonomy. In 2001 IEEE International Conference on Systems, Man, and Cybernetics, 2001.
 
M. A. Goodrich, D. R. Olsen, J. W. Crandall, and T. J. Palmer. Experiments in Adjustable Autonomy. In Proceedings of the IJCAI-01 Workshop on Autonomy, Delegation, and Control: Interaction with Autonomous Agents, 2001.
 
Theses and Reports
J. W. Crandall and M. A. Goodrich. Satisficing Multi-Agent Learning: A Simple but Powerful Algorithm. Technical Report BYU-HCMI 2008-1, October 2008.
 
J. W. Crandall and M. L. Cummings. A Predictive Model for Human-Unmanned Vehicle Systems. Technical Report HAL2008-05, June 2008.
 
J. W. Crandall and M. L. Cummings. A Predictive Model for Human-Unmanned Vehicle Teams. Technical Report HAL2007-07, July 2007.
 
J. W. Crandall. Learning Successful Strategies in Repeated General-Sum Games. Ph.D. Dissertation, Brigham Young University, Dec 2005.
 
J. W. Crandall. Towards Developing Effective Human-Robot Systems. M.S. Thesis, Brigham Young University, Dec 2003.


Last updated: 11 May 2010