DocumentCode :
3205727
Title :
Application and design of computer games system in Phantom Go
Author :
Wu Gui ; Tao Jun
Author_Institution :
Jianghan Univ., Wuhan, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
5748
Lastpage :
5751
Abstract :
Phantom Go is a new game based on the incomplete information. This paper analyzes the structure and the functional module of computer games system in Phantom Go. With the combination of advantages of Alpha-Beta search algorithm and Monte-Carlo search algorithm, different search algorithms are applied and used to Phantom Go according to the state of game board. Then the scheme generates the next step by means of the search engine. On the basis of the above design, computer games system in Phantom Go is developed and programmed completely and finally, which can effectively interact and process information. The advanced and modified algorithm is proved to be practical and applicative by experimentations and tests of computer games system in Phantom Go provided in this paper.
Keywords :
Monte Carlo methods; computer games; search engines; Monte-Carlo search algorithm; alpha-beta search algorithm; computer games system; functional module; game board; phantom go; search engine; Algorithm design and analysis; Computers; Cost accounting; Games; Monte Carlo methods; Phantoms; Search problems; Alpha-Beta; Computer Games; Incomplete Information; Phantom Go;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7161830
Filename :
7161830
Link To Document :
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