DocumentCode
412684
Title
An investigation on piece differential information in co-evolution on games using Kalah
Author
Oon, Wee-Chong ; Lim, Yew-Jin
Author_Institution
National Univ. of Singapore, Singapore
Volume
3
fYear
2003
fDate
8-12 Dec. 2003
Firstpage
1632
Abstract
This paper describes a series of experiments using co-evolution of artificial neural networks on a game called Kalah. The technique employed closely follows the one used by Chellapilla and Fogel to evolve the successful checkers program Anaconda. The experiments aim to provide insight on the effect of including piece differential information, a basic yet crucial piece of expert knowledge, into the neural network inputs.
Keywords
computer games; differential games; expert systems; learning (artificial intelligence); neural nets; Anaconda checkers program; Kalah game; artificial neural networks; expert knowledge; neural network inputs; piece differential information; Artificial neural networks; Computer networks; Evolutionary computation; Information management; Intelligent networks; Knowledge management; Learning systems; Machine learning; Neural networks; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN
0-7803-7804-0
Type
conf
DOI
10.1109/CEC.2003.1299868
Filename
1299868
Link To Document