DocumentCode :
2517043
Title :
The research of searching algorithm in Amazons game
Author :
Guo, Qinqin ; Li, Shuqin ; Bao, Hua
Author_Institution :
Beijing Inf. Sci. & Technol. Univ., Beijing, China
fYear :
2011
fDate :
23-25 May 2011
Firstpage :
1859
Lastpage :
1862
Abstract :
In the area of computer game, Amazons game is a relatively new one whose rules stand between the game of Chess and Go. Its move rule is simple but apt to generate tremendous move branches. Based on the UCT searching algorithm, this paper presents an idea that the whole process of Amazons game can be divided into three phases, which are the Opening, Middle game and Endgame, then different strategies are applied to different phases according to their respective characteristics. Furthermore, a new Monte-Carlo simulation method applicable to Amazons game is proposed in this paper. The corresponding experiments are conducted to show the validation of the proposed algorithms.
Keywords :
Monte Carlo methods; computer games; Amazons game; Chess; Go; Monte-Carlo simulation method; UCT searching algorithm; computer game; Algorithm design and analysis; Bars; Computers; Games; Law; Monte Carlo methods; Amazons game; Monte-Carlo; Searching Algorithm; UCT; simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
Type :
conf
DOI :
10.1109/CCDC.2011.5968503
Filename :
5968503
Link To Document :
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