Toyota AI Seminar: Donít Ask, Donít Tell: Strategies for Modeling Agents in Cooperative Multiagent Systems
University of Michigan, CSE
Tuesday, November 16, 2010|
4:00pm - 5:30pm
3725 Beyster Bldg. (Stained Glass Conference Room)
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About the Event
Effective coordination among cooperating agents typically improves with greater mutual awareness. However, the costs and delays in achieving and maintaining mutual awareness, and reasoning about detailed models of othersí beliefs, goals, and plans, can impede the responsiveness and effectiveness of a multiagent system. That is, cooperating agents can sometimes benefit from intentionally not knowing aspects about each other, and not revealing some information about themselves. In this talk, I will describe some of my studentsí previous and ongoing research that has explored the uses of abstraction and selective communication to achieve effective coordination without excessive overhead and without unnecessarily constraining individualsí actions.
Ed Durfee is a Professor of Computer Science and Engineering, and of Information, at the University of Michigan, where he has served on the faculty for over 20 years. His research focuses on developing representations and algorithms for multiagent planning, scheduling, and coordination, with applications that include cooperative robotics, service-oriented computing, and cognitive orthotics. He received his AB degree from Harvard University and his PhD from the University of Massachusetts.
Contact: Quang Duong
Open to: Public