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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 / / / /  
Reference Info. IEICE Tech. Rep.
Paper #  
Date of Issue  
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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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  
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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Date Time 2013-12-20 11:05:00 
Presentation Time 20 
Registration for HCGSYMPO 
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