UWA Logo
  Faculty Home | School Home | Internal Page | Awesome Animations   
           
Home
About the School
Contact and People
Future Undergraduate Students
Prospective Postgraduates
Current Students
Current Postgraduates
Research
Research Areas Research Areas Research Areas
Research Seminars Research Seminars Research Seminars
20082008 2008 2008
20072007 2007 2007
20062006 2006 2006
20052005 2005 2005
20042004 2004 2004
20032003 2003 2003
20022002 2002 2002
20012001 2001 2001
20002000 2000 2000
19991999 1999 1999
19981998 1998 1998
School Research Conferences School Research Conferences School Conferences
Tech Reports Tech Reports Tech Reports
Distinguished Visitors Distinguished Visitors Distinguished Visitors
Research Opportunities for Students Research Opportunities for Students Research Opportunities ...
Research Project Suggestions Research Project Suggestions Research Project Sugges...
IT News
Awards
Industry Links and Prizes
School and IT Information
Other
Internal Information

Research Seminar - February 6, 2001

Seminar Announcement


Title: Evolving Adaptive Play for the Game of Poker
Speaker: Luigi Barone
  Department of Computer Science & Software Engineering
The University of Western Australia
Date: Tuesday 6th February, 2001
Time: 2.00pm
Venue: Seminar Room 1.24

Abstract

Poker is more than a game of chance. Good play requires not only a degree of bluffing, but the ability to deduce opponent playing styles in order to exploit weaknesses. This requires adaptive learning.

Evolutionary algorithms model the process of natural selection in computers. By utilising the implicit learning characteristics of evolution, evolutionary algorithms simulate adaptation in dynamic environments.

In this seminar, I shall describe a learning model using evolutionary algorithms suitable for designing adaptive computer poker players. I will identify several important poker principles and use these as the basis for a hypercube of evolving populations of poker competences. I will discuss experiments that demonstrate the emergent adaptive behaviour of the evolving computer poker players, and in particular, show that the evolving poker players develop different techniques to maximise winnings against different opponents. A comparison of the strategies evolved by the computer poker players with a competent fixed strategy will demonstrate the improved performance of this approach.

Top of Page