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http://dx.doi.org/10.3745/KIPSTB.2005.12B.3.329

An Intelligent Characters for Fighting Action Games Using Genetic Algorithms  

Lee Myun-sub (인천전문대학 컴퓨터정보과)
Cho Byeong-heon (국민대학교 전자공학과)
Seong Yeong-rak (국민대학교 전자정보통신공학부)
Jung Sung-hoon (한성대학교 정보통신공학과)
Oh Ha-ryoung (국민대학교 전자정보통신공학부)
Publication Information
The KIPS Transactions:PartB / v.12B, no.3, 2005 , pp. 329-336 More about this Journal
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.
Keywords
Genetic Algorithm; Game; Artificial Intelligence; Intelligent Character;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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