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
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;
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
DOI :
10.1109/ICICIC.2007.6