Development of ensemble game tree search method
Project/Area Number |
25730212
|
Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Multi-year Fund |
Research Field |
Entertainment and game informatics 1
|
Research Institution | The University of Electro-Communications |
Principal Investigator |
Hoki Kunihito 電気通信大学, 情報理工学(系)研究科, 准教授 (00436081)
|
Project Period (FY) |
2013-04-01 – 2016-03-31
|
Project Status |
Completed (Fiscal Year 2015)
|
Budget Amount *help |
¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
|
Keywords | 人工知能 / ゲーム / ヒューリスティック探索 / 将棋 / 囲碁 |
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.
|
Report
(4 results)
Research Products
(6 results)
-
-
-
-
-
-
[Presentation] A System-Design Outline of the Distributed-Shogi-System Akara 20102013
Author(s)
Kunihito Hoki, Tomoyuki Kaneko, Daisaku Yokoyama, Takuya Obata, Hiroshi Yamashita, Yoshimasa Tsuruoka, and Takeshi Ito
Organizer
14th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2013)
Place of Presentation
Honolulu, Hawaii, USA
Related Report