Presentation 2007-07-09
A Carling Strategy Analysis based on Game Tree
Masahiro URA, Masashi YAMADA, Mamoru ENDO, Shinya MIYAZAKI, Takami YASUDA, Shigeki YOKOI,
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Abstract(in English) In a game, it is necessary to think about the best strategy according to the situation. However, when there are many stochastic elements, it is difficult to find the best strategy in comparison with a definite game. In this study, we take up curling as an stochastic game. We propose a technique for calculating the best strategy according to the difficulty of the shot. Using this technique, we make the system which the best answer candidate can show.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Carling / Game Tree / Strategy Analysis
Paper # IE2007-25,MVE2007-28
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Conference Information
Committee MVE
Conference Date 2007/7/2(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Carling Strategy Analysis based on Game Tree
Sub Title (in English)
Keyword(1) Carling
Keyword(2) Game Tree
Keyword(3) Strategy Analysis
1st Author's Name Masahiro URA
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Masashi YAMADA
2nd Author's Affiliation School of Information Science and Technology, Chukyo University
3rd Author's Name Mamoru ENDO
3rd Author's Affiliation School of Information Science and Technology, Chukyo University
4th Author's Name Shinya MIYAZAKI
4th Author's Affiliation School of Information Science and Technology, Chukyo University
5th Author's Name Takami YASUDA
5th Author's Affiliation Graduate School of Information Science, Nagoya University
6th Author's Name Shigeki YOKOI
6th Author's Affiliation Graduate School of Information Science, Nagoya University
Date 2007-07-09
Paper # IE2007-25,MVE2007-28
Volume (vol) vol.107
Number (no) 130
Page pp.pp.-
#Pages 6
Date of Issue