DocumentCode :
1635181
Title :
An investigation, using co-evolution, to evolve an Awari player
Author :
Davis, James Edward ; Kendall, Graham
Author_Institution :
Optimisation & Planning Res. Group, Nottingham Univ., UK
Volume :
2
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
1408
Lastpage :
1413
Abstract :
Awari is a two-player game of perfect information, played using 12 "pits" and 48 seeds or stones. The aim is for one player to capture more than half the seeds. In this work we show how an awari player can be evolved using a co-evolutionary approach where computer players play against one another, with the strongest players surviving and being mutated using an evolutionary strategy (ES). The players are represented using a simple evaluation function, representing the current game state, with each term of the function having a weight which is evolved using the ES. The output of the evaluation function is used in a mini-max search. We play the best evolved player against one of the strongest shareware programs (Awale) and are able to defeat the program at three of its four levels of play
Keywords :
evolutionary computation; game theory; Awari player; coevolution; computer players; evolutionary strategy; minimax search; shareware programs; two-player game; Artificial intelligence; Artificial neural networks; Bridges; Computer science; Databases; Hardware; History; Internet; Processor scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
Type :
conf
DOI :
10.1109/CEC.2002.1004449
Filename :
1004449
Link To Document :
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