BISC Seminar Announcement, Monday Nov. 1st, 4-5pm, 380 Soda

Frank Hoffmann (fhoffman@cs.berkeley.edu)
Thu, 28 Oct 1999 12:11:07 +0200 (MET DST)

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Berkeley Initiative in Soft Computing (BISC)
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B I S C S e m i n a r A n n o u n c e m e n t
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Fuzzy Information and Learning in Games and Auctions

Speaker :
Philippe De Wilde

Intelligent and Interactive Systems Group
Department of Electrical and Electronic Engineering
Imperial College of Science, Technology and Medicine
London
E-mail: pdw@cs.berkeley.edu

Date: Monday, November 1st, 1999
Time: 4-5pm
Location : 380 Soda Hall

Abstract

This talk aims to show how the different components of soft computing can be
integrated to assist players in a game, and bidders at an auction. The games
considered are non-cooperative n-person games.

First the notion of incomplete information in a game is modeled using membership
functions rather than random variables. Then the Cournot adjustment in a
duopoly is described in its traditional formulation, and extended to the case
of fuzzy incomplete information. It is then shown how the adjustment process
can be performed faster by a neural network.

The second part of the talk gives a framework for soft computing in games.
The membership functions are discretized, and the equilibria are stored in
an attractor neural network with Potts spin-glass states. The network can be
optimized using evolutionary dynamics.

Finally, the implications are discussed for auctions where bidders obtain
certain information about the bids of other participants.

An awareness of the notions of membership function and attractor (recurrent)
neural network will be sufficient to understand the talk. Knowledge of
game theory is not required.

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Please direct questions with regard to the contents of the talk
and request for papers to the speaker.
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Frank Hoffmann UC Berkeley
Computer Science Division Department of EECS
Email: fhoffman@cs.berkeley.edu phone: 1-510-642-8282
URL: http://http.cs.berkeley.edu/~fhoffman fax: 1-510-642-5775
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