DocumentCode :
2006079
Title :
Adaptation of game AIs using Genetic Algorithm: Keeping variety and suitable strength
Author :
Ikeda, Ken-ichi ; Tanaka, Yuichi ; Viennot, Simon ; Quoc, N.H. ; Ueda, Yuzuru
Author_Institution :
Japan Adv. Inst. of Sci. & Technol., Ishikawa, Japan
fYear :
2012
fDate :
20-24 Nov. 2012
Firstpage :
945
Lastpage :
951
Abstract :
Advancement of artificial intelligence (AI) technology have made computer game players stronger than any human players in many games. However, it is still difficult to create game Als that have a suitable strength for the average human player, while having various strategies and avoiding unnatural moves. We propose a method for generating "a group of rival Als" which satisfy these requirements by using a Genetic Algorithm. In this paper, this method is applied to Othello game and evaluated through some experiments and questionnaires.
Keywords :
artificial intelligence; computer games; genetic algorithms; Othello game; artificial intelligence technology; computer game players; game AI adaptation; genetic algorithm; human players; entertainment; genetic algorithm; natural behavior; variety maintenance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
Conference_Location :
Kobe
Print_ISBN :
978-1-4673-2742-8
Type :
conf
DOI :
10.1109/SCIS-ISIS.2012.6505249
Filename :
6505249
Link To Document :
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