DocumentCode :
619874
Title :
The research on patterns and UCT algorithm in NoGo game
Author :
Yuxia Sun ; Cheng Liu ; Hongkun Qiu
Author_Institution :
Eng. Training Center, Shenyang Aerosp. Univ., Shenyang, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
1178
Lastpage :
1182
Abstract :
NoGo game is similar to Go game, that means they have similar notion of group, killing, stones and chessboard. However, their rulers are completely different, or opposite, like the first player suicides, kills a group, or has no more legal moves, the opponent will win the game. In this paper, the patterns of NoGo are expounded in detail. The pattern values, the pattern sizes and the pattern formats are discussed. At the same time, an optimizing pattern matching algorithm is put forward to find out the best move for NoGo game. In addition, if the best move has not been found by the matching pattern algorithm, a modified UCT algorithm is also applied to play the NoGo game. The experimental results show that the proposed approaches are workable for NoGo.
Keywords :
computer games; pattern matching; trees (mathematics); NoGo game; UCT algorithm; computer game; optimizing pattern matching algorithm; pattern format; pattern research; pattern size; pattern values; upper confidence bounds for trees algorithm; Algorithm design and analysis; Computers; Games; Law; Monte Carlo methods; Pattern matching; Computer Games; NoGo; Patterns and UCT algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6561103
Filename :
6561103
Link To Document :
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