PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Genetic Algorithms for Mentor-Assisted Evaluation Function Optimization
Omid David-Tabibi, Moshe Koppel and Nathan Netanyahu
In: GECCO 2008, Atlanta, GA(2008).

Abstract

In this paper, we demonstrate how genetic algorithms can be used to reverse engineer evaluation function parameters for computer chess. Our results show that , using an appropriate mentor, we can evolve a program that is on par with top tournament-playing chess programs, outperforming a two times World Computer Chess Champion. Our mentor-assisted approach can be used in a wide range of problems for which appropriate mentors are available.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:User Modelling for Computer Human Interaction
Learning/Statistics & Optimisation
ID Code:4685
Deposited By:Moshe Koppel
Deposited On:08 March 2010

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