homepage: | http://ai.eecs.umich.edu/people/wellman/ |
search externally: | Google Scholar, Springer, CiteSeer, Microsoft Academic Search, Scirus , DBlife |
Description
Michael P. Wellman is Professor of Computer Science & Engineering at the University of Michigan. He received a PhD from the Massachusetts Institute of Technology in 1988 for his work in qualitative probabilistic reasoning and decision-theoretic planning. From 1988 to 1992, Wellman conducted research in these areas at the USAF’s Wright Laboratory. For the past 18+ years, his research has focused on computational market mechanisms for distributed decision making and electronic commerce. As Chief Market Technologist for TradingDynamics, Inc. (now part of Ariba), he designed configurable auction technology for dynamic business-to-business commerce. Wellman previously served as Chair of the ACM Special Interest Group on Electronic Commerce (SIGecom), and as Executive Editor of the Journal of Artificial Intelligence Research. He is a Fellow of the Association for the Advancement of Artificial Intelligence and the Association for Computing Machinery.
Lectures:
invited talk Empirical Game-Theoretic Analysis and the Behavior of Software Agents as author at 21st International Conference on Automated Planning and Scheduling (ICAPS), Freiburg 2011, 3739 views |
opening Welcome and Opening Remarks as chairman at 30th AAAI Conference on Artificial Intelligence, Phoenix 2016, together with: Dale Schuurmans (chairman), Manuela M. Veloso (presenter), Gregory D. Hager (presenter), David Leake (presenter), Peter Z. Yeh (presenter), 900 views |
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