DocumentCode
1684982
Title
A hybrid Artificial Intelligence approach with application to games
Author
Cant, Richard ; Churchill, Julian ; Al-Dabass, David
Author_Institution
Dept. of Comput. & Math., Nottingham Trent Univ., UK
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1575
Lastpage
1580
Abstract
We describe a hybrid Artificial Intelligence (AI) approach combining soft AI techniques (neural networks) and hard AI methods (alpha-beta game tree search), in an attempt to approximate human play more accurately, in particular with reference to the game of Go. The program is tested and analysed by play against another Go playing program and it is shown that the use of hard AI enhances the performance of the soft AI system and vice-versa
Keywords
artificial intelligence; feedforward neural nets; game theory; tree searching; alpha-beta game tree search; game of Go; hard AI methods; hybrid artificial intelligence approach; neural networks; soft AI techniques; Artificial intelligence; Artificial neural networks; Biological neural networks; Biological system modeling; Brain modeling; Computer networks; Humans; Neural networks; Neurons; Search methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1007752
Filename
1007752
Link To Document