2015 Fiscal Year Final Research Report
Development of ensemble game tree search method
| Project/Area Number |
25730212
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Entertainment and game informatics 1
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| Research Institution | The University of Electro-Communications |
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Principal Investigator |
Hoki Kunihito 電気通信大学, 情報理工学(系)研究科, 准教授 (00436081)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Keywords | 人工知能 / ゲーム / ヒューリスティック探索 |
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| Outline of Final Research Achievements |
We analyzed ensemble methods to avoid decision error of artificial intelligence. Specifically, we took mind sports games such as chess as research targets, and aimed at elimination of blunders by composing an ensemble of artificial intelligence.
The major outcomes of this research were published as: (i) K. Hoki, T. Kaneko, A. Kishimoto, T. Ito, Parallel Dovetailing and Its Application to Depth-First Proof Number Search, ICGA Journal, 36, 22-36, 2013. (ii) K. Hoki, S. Omori, T. Ito, Analysis of Performance of Consultation Methods in Computer Chess, Journal of Information Science and Engineering, 30, 701-712, 2014.
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| Free Research Field |
ゲーム情報学
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