DocumentCode :
2910060
Title :
The importance of a piece difference feature to Blondie24
Author :
Al-Khateeb, Belal ; Kendall, Graham
Author_Institution :
Sch. of Comput. Sci., Univ. of Nottingham, Nottingham, UK
fYear :
2010
fDate :
8-10 Sept. 2010
Firstpage :
1
Lastpage :
6
Abstract :
In recent years, significant research attention has been paid to evolving self-learning checkers players. Fogel´s Blondie24 has been very successful in this field and has inspired other researchers to further develop this area. In this paper we address the question of whether piece difference is an important factor in the Blondie24 architecture. Although this issue has been addressed before, this work provides a different experimental setup to previous work, but arrives at the same conclusion. Our experiments show that piece difference has a significant effect on learning abilities.
Keywords :
computer games; unsupervised learning; Blondie24; Blondie24 architecture; piece difference feature; self learning checkers players; Artificial neural networks; Computers; Games; Humans; Learning; Machine learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence (UKCI), 2010 UK Workshop on
Conference_Location :
Colchester
Print_ISBN :
978-1-4244-8774-5
Electronic_ISBN :
978-1-4244-8773-8
Type :
conf
DOI :
10.1109/UKCI.2010.5625582
Filename :
5625582
Link To Document :
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