DocumentCode :
2739328
Title :
A Coevolutionary System for Development of Strategies in Poker Game
Author :
Kushida, Jun-ichi ; Taniguchi, Noriyuki ; Hoshino, Yukinobu ; Kamei, Katsuari
Author_Institution :
Ritsumeikan Univ., Kyoto
fYear :
2007
fDate :
5-7 Sept. 2007
Firstpage :
401
Lastpage :
401
Abstract :
We propose a coevolutionary system which reciprocally develops player´s strategies in two player games. The game environment is the seven stud poker that is a complex real- world game of imperfect information. In our system, the players decide their actions based on a self-learning by Classifier Systems and then make the strategies more complex and excellent. We analyze dynamics of the evolution of the player´s strategies and show the learning process of reciprocating skills of players.
Keywords :
evolutionary computation; game theory; classifier system; coevolutionary system; poker game; Artificial intelligence; Competitive intelligence; Learning; Optical computing; Photonics; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
Type :
conf
DOI :
10.1109/ICICIC.2007.6
Filename :
4428043
Link To Document :
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