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