An Intelligent Characters for Fighting Action Games Using Genetic Algorithms


The KIPS Transactions:PartB , Vol. 12, No. 3, pp. 329-336, Jun. 2005
10.3745/KIPSTB.2005.12.3.329,   PDF Download:

Abstract

This paper proposes a method to provide intelligence for characters in fighting action games by using genetic algorithm. The proposed characters without any knowledge on the rules of the game learn the rules and techniques for generations, and have the capability of evolving. To evaluate adaptability for varying circumstances, we changed the rules and compared the results. The experimental results show that the intelligent characters can adapt to the new rules. An advantage of the proposed method is that it can be easily applied to characters for other category of games such as PC games and internet online games.


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Cite this article
[IEEE Style]
M. S. Lee, B. H. Cho, Y. R. Seong, S. H. Jung, H. R. Oh, "An Intelligent Characters for Fighting Action Games Using Genetic Algorithms," The KIPS Transactions:PartB , vol. 12, no. 3, pp. 329-336, 2005. DOI: 10.3745/KIPSTB.2005.12.3.329.

[ACM Style]
Myun Sub Lee, Byeong Heon Cho, Yeong Rak Seong, Sung Hoon Jung, and Ha Ryoung Oh. 2005. An Intelligent Characters for Fighting Action Games Using Genetic Algorithms. The KIPS Transactions:PartB , 12, 3, (2005), 329-336. DOI: 10.3745/KIPSTB.2005.12.3.329.