<title>Computer-simulation gaming systems utilizing neural networks and genetic algorithms</title>

Abstract

ABSTRACT In recent years, neural networks & genetic algorithms (GAs) have been studied quite extensively by many re-searchers. They have been applied to various actual problems.In this paper, neural networks and GAs are applied to the computer gaming system which is the modified versionof the COMMONS GAME. It is shown that neural network technology is quite helpful for making a copy of eachplayefs strategy in game playing. It is also shown that GAs can be utilized for making the game playing exciting.Further. applications of neural networks & GAs to the familiar computer simulation games 'Nobunaga's & 'Sangokushi are briefly introduced in the final part of this paper.KEYvVORDS: neural networks, genetic algorithms, computer simulation games, copy of a player, fine tuning ofparameters, COMMONS GAME. Nobunaga's Ambition , Sangokushi. 1. INTRODUCTION During the last two decades, the AT techniques such as neural networks, fuzzy logic, and genetic algorithms havecontributed a lot in constructing various intelligent systems.'234 Recently, the authors have tried to utilize thosetechniques to the field of gaming. In particular, neural network technology has been applied in order to mimic eachplayer's way of playing.4 However, we have only dealt with the situations where a player cannot attend on the game