Presentation 1998/7/24
The Starting Member Decision Problem of Baseball by Learning from Instances
Yozo Yamaguchi, Nobuo Inui, Takashi Nose, Bipin Indurkhya, Yoshiyuki Kotani,
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Abstract(in English) Research work dealing with knowledge acquisition as well as learning from large databases has been popular nowadays. This paper proposes a practical baseball manager expert system to select the starting members by learning from instances. The system calculates the estimation of defense, batting and running abilities and finally selects appropriate mambers for each game. We then defined each member's expected activity value called the degree of achievement. By using the multiple regression function of statistical analysis, we tested the degree of achievement on our baseball simulator. The result concluded that the baseball manager by this method recorded 57% of winning against a baseball manager system which randomly selects the starting members.
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Keyword(in English) expert system / baseball / learning
Paper # OFS98-12,AI98-21
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Committee AI
Conference Date 1998/7/24(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The Starting Member Decision Problem of Baseball by Learning from Instances
Sub Title (in English)
Keyword(1) expert system
Keyword(2) baseball
Keyword(3) learning
1st Author's Name Yozo Yamaguchi
1st Author's Affiliation Department of Computer Science, Graduate School of Technology, Tokyo University of Agriculture and Technology()
2nd Author's Name Nobuo Inui
2nd Author's Affiliation Department of Information and Communication, Faculty of Technology, Tokyo university of Agriculture and Technology
3rd Author's Name Takashi Nose
3rd Author's Affiliation Department of Information and Communication, Faculty of Technology, Tokyo University of Agriculture and Technology
4th Author's Name Bipin Indurkhya
4th Author's Affiliation Department of Information and Communication, Faculty of Technology, Tokyo University of Agriculture and Technology
5th Author's Name Yoshiyuki Kotani
5th Author's Affiliation Department of Information and Communication, Faculty of Technology, Tokyo University of Agriculture and Technology
Date 1998/7/24
Paper # OFS98-12,AI98-21
Volume (vol) vol.98
Number (no) 202
Page pp.pp.-
#Pages 8
Date of Issue