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Proceedings Paper

Computer-simulation gaming systems utilizing neural networks and genetic algorithms
Author(s): Norio Baba; Tomio Kita; Yusuke Takagawara; Yoichi Erikawa; Kazuhiro Oda
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Paper 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.

Paper Details

Date Published: 22 March 1996
PDF: 11 pages
Proc. SPIE 2760, Applications and Science of Artificial Neural Networks II, (22 March 1996); doi: 10.1117/12.235939
Show Author Affiliations
Norio Baba, Osaka Kyoiku Univ. (Japan)
Tomio Kita, Osaka Kyoiku Univ. (Japan)
Yusuke Takagawara, Osaka Kyoiku Univ. (Japan)
Yoichi Erikawa, Koei Corp. (Japan)
Kazuhiro Oda, Koei Corp. (Japan)

Published in SPIE Proceedings Vol. 2760:
Applications and Science of Artificial Neural Networks II
Steven K. Rogers; Dennis W. Ruck, Editor(s)

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