Using neural network learning in an Othello evaluation function

Author: Abdelbar Ashraf Mohamed   Tagliarini Gene A.  

Publisher: Taylor & Francis Ltd

ISSN: 1362-3079

Source: Journal of Experimental & Theoretical Artificial Intelligence, Vol.10, Iss.2, 1998-04, pp. : 217-229

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Abstract

Abstract . Bayesian learning, a statisticalmethod, has been successfully applied to the feature combination stage of the evaluation function of the Othello program BILL, which won the 1989 North American Othello Championship. The use of a novel neural network referred to as HONEST in place of Bayesian learning in BILL, was investigated. The HONEST network was implemented in six of BILL's 26 evaluation functions and resulted in the percentage of misclassified positions being reduced by an average of about 20%.