Teaching the HONEST Neural Network to Judge the Strength of Othello Positions
نویسنده
چکیده
Bayesian learning, a statistical method, has been successfully applied to the feature combination stage of the evaluation function of the Othello program BILL, which won the 1989 North American Computer World Othello Championship. We have investigated the use of a novel neural network called HONEST in place of Bayesian learning in BILL. We implemented HONEST in six of BILL's twenty-six evaluation functions and were able to reduce the percentage of misclassiied positions by an average of about 20%. These ndings are encouraging and have implications for the application of neural networks to other computer games such as chess.
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