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Development of ensemble game tree search method

Research Project

Project/Area Number 25730212
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Entertainment and game informatics 1
Research InstitutionThe 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)
  • 2015 Annual Research Report   Final Research Report ( PDF )
  • 2014 Research-status Report
  • 2013 Research-status Report
  • Research Products

    (6 results)

All 2016 2015 2014 2013

All Journal Article (3 results) (of which Peer Reviewed: 3 results,  Open Access: 1 results) Presentation (3 results) (of which Int'l Joint Research: 1 results)

  • [Journal Article] Analysis of Performance of Consultation Methods in Computer Chess2014

    • Author(s)
      K. Hoki, S. Omori, and T. Ito
    • Journal Title

      Journal of Information Science and Engineering

      Volume: 30 Pages: 701-712

    • Related Report
      2014 Research-status Report
    • Peer Reviewed
  • [Journal Article] Large-Scale Optimization for Evaluation Functions with Minimax Search2014

    • Author(s)
      K. Hoki and T. Kaneko
    • Journal Title

      Journal of Artificial Intelligence Research

      Volume: 49 Pages: 527-568

    • DOI

      10.1613/jair.4217

    • Related Report
      2013 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Parallel Dovetailing and Its Application to Depth-First Proof Number2013

    • Author(s)
      Kunihito Hoki, Tomoyuki Kaneko, Akihiro Kishimoto, and Takeshi Ito
    • Journal Title

      ICGA Journal

      Volume: 36 Pages: 22-36

    • Related Report
      2013 Research-status Report
    • Peer Reviewed
  • [Presentation] Df-pn 探索による 6x6 TRAX の解析2016

    • Author(s)
      桑原和人、鎌田雅和、中島麻衣、西谷旦、菅原真、保木邦仁
    • Organizer
      研究報告ゲーム情報学 (GI)
    • Place of Presentation
      電気通信大学(東京都調布市)
    • Year and Date
      2016-03-08
    • Related Report
      2015 Annual Research Report
  • [Presentation] Human-like Build-order management in StarCraft to win against specific opponent's strategies2015

    • Author(s)
      H. Takino and K. Hoki
    • Organizer
      Conference on Applied Computing & Information Technology
    • Place of Presentation
      岡山コンベンションセンター(岡山県岡山市)
    • Year and Date
      2015-07-12
    • Related Report
      2015 Annual Research Report
    • Int'l Joint Research
  • [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
      2013 Research-status Report

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Published: 2014-07-25   Modified: 2019-07-29  

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