AI Seminar 2005/2006

Speaker: Michael Genesereth

General Game Playing


A GENERAL GAME PLAYER is a computational system capable of playing arbitrary discrete games based solely on formal descriptions of those games received at "runtime". Unlike specialized game players, such as Deep Blue, General Game Playing systems rely on general problem solving techniques rather than specialized algorithms designed in advance for specific games. While general game playing is a topic with inherent interest, work in this area has practical value in a variety of areas, notably enterprise management and electronic commerce. In this presentation, we take a look at the theory and practice of general game playing and examine the relationship between general game playing and the long-range goals of Artificial Intelligence. We also review last year's AAAI General Game Playing Competition and summarize details for the competition to be held at AAAI-06.

Speaker Bio

Michael Genesereth is an associate professor in the Computer Science Department at Stanford University.  He received his Sc.B. in Physics from M.I.T. and his Ph.D. in Applied Mathematics from Harvard University.  Prof. Genesereth is most known for his work on computational logic and applications of that work in enterprise management and electronic commerce.  He was program chairman for the 1983 AAAI conference and the 1997 International World Wide Web Conference.  He is one of the founders of Teknowledge, the premier company commercializing Artificial Intelligence; he is a co-founder of CommerceNet, the premier organization for electronic commerce on the Internet; and he is a founder of Mergent Systems, an early vendor of technology for integrated catalogs on the World-Wide Web.  He is the director of the Logic Group at Stanford and the founder and director of CodeX (The Stanford Center for Computers and Law).

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Last modified: 2/12/2006 10:06 PM