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Paper Abstract and Keywords
Presentation 2013-12-20 11:05
The action strategy of the mah-jong using an interdependence probability model
Shogo Takahashi, Jun Rokui (Shima Univ)
Abstract (in Japanese) (See Japanese page) 
(in English) An information game problem is divided into a perfect information game and an incomplete information game. It is classified into a four-person incomplete information game. Precedence research using a neural network and a tree kernel and SVM exists as mah-jong research.These both showed the validity of the probability model to mah-jong.
We proposed the interdependence probability model for mah-jong and evaluated through the experiment.
Keyword (in Japanese) (See Japanese page) 
(in English) game with incomplete infomation / mah-jong / hidden markov model / interdependence probability model / / / /  
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Conference Information
Committee HCGSYMPO  
Conference Date 2013-12-18 - 2013-12-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Matsuyama Multi-Purpose Community Cente 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Human communication, etc. 
Paper Information
Registration To HCGSYMPO 
Conference Code 2013-12-HCGSYMPO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The action strategy of the mah-jong using an interdependence probability model 
Sub Title (in English)  
Keyword(1) game with incomplete infomation  
Keyword(2) mah-jong  
Keyword(3) hidden markov model  
Keyword(4) interdependence probability model  
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1st Author's Name Shogo Takahashi  
1st Author's Affiliation Shimane University (Shima Univ)
2nd Author's Name Jun Rokui  
2nd Author's Affiliation Shimane University (Shima Univ)
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Speaker Author-1 
Date Time 2013-12-20 11:05:00 
Presentation Time 20 minutes 
Registration for HCGSYMPO 
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