Computer-simulation gaming systems utilizing neural networks and genetic algorithms

Norio Baba; Tomio Kita; Yusuke Takagawara; Yoichi Erikawa; Kazuhiro Oda

doi:10.1117/12.235939

22 March 1996 Computer-simulation gaming systems utilizing neural networks and genetic algorithms

Norio Baba, Tomio Kita, Yusuke Takagawara, Yoichi Erikawa, Kazuhiro Oda

Proceedings Volume 2760, Applications and Science of Artificial Neural Networks II; (1996) https://doi.org/10.1117/12.235939
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

In recent years, neural networks and genetic algorithms (GAs) have been studied quite extensively by many researchers. 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 version of the COMMONS GAME. It is shown that neural network technology is quite helpful for making a copy of each player's strategy in game playing. It is also shown that GAs can be utilized for making the game playing exciting. Further, applications of neural networks and GAs to the familiar computer simulation games `Nobunaga's Ambition' and `Sangokushi' are briefly introduced in the final part of this paper.

Citation Download Citation

Norio Baba, Tomio Kita, Yusuke Takagawara, Yoichi Erikawa, and Kazuhiro Oda "Computer-simulation gaming systems utilizing neural networks and genetic algorithms", Proc. SPIE 2760, Applications and Science of Artificial Neural Networks II, (22 March 1996); https://doi.org/10.1117/12.235939

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