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J-GLOBAL ID:201001011283937420
Update date: Dec. 05, 2024
Hashimoto Tsuyoshi
ハシモト ツヨシ | Hashimoto Tsuyoshi
Affiliation and department:
Job title:
Professor
Research field (2):
Intelligent robotics
, Perceptual information processing
Research keywords (1):
人工知能(ゲーム情報学)
Research theme for competitive and other funds (10):
- 2022 - 2027 Development a general-purpose imperfect information game AI that surpasses humans
- 2021 - 2025 高専間・海外協定校連携による「ハイブリッド型中国語学習システム」の構築
- 2019 - 2023 メコン地域3新興国における技術者高等教育プログラムの到達度と支援方法の検討
- 2018 - 2023 理系学生用オリジナル中国語教科書に即したアクティブラーニングの開発及び事例集作成
- 2017 - 2023 Development of a general purpose game AI that improves humanly
- 2012 - 2018 Development of Shogi opening algorithm that exceeds the Meijin
- 2008 - 2011 Development of shogi-endgame algorism exceeding the Meijin
- 各種探索アルゴリズムの開発
- パズルの作成,ソルバーの開発
- ゲーム人工知能の開発
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Papers (8):
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Chu-Hsuan Hsueh, Takefumi Ishii, Tsuyoshi Hashimoto, Kokolo Ikeda. Proposal and generation of endgame puzzles for an imperfect information game Geister. Entertainment Computing. 2025. 52. 100736-100736
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Naoto Kawakami, Tsuyoshi Hashimoto. Research of Geister AI by MinMax Method Using the Idea of “Purple Piece”. 2021. 62. 10. 1716-1723
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Tsuyoshi Hashimoto, Kazunori Sato, Genki Ichinose, Rinko Miyazaki, Kei-ichi Tainaka. Clustering Effect on the Dynamics in a Spatial Rock-Paper-Scissors System. Journal of the Physical Society of Japan. 2018. 87. 1. 014801-014801
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Kei-Ichi Tainaka, Tsuyoshi Hashimoto. A Theory of Ratio Selection-Lattice Model for Obligate Mutualism. Open Journal of Ecology. 2016. 06. 06. 303-311
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橋本 剛. 局面評価関数を使う新たなUCT探索法の提案とオセロによる評価. 情報処理学会論文誌, 第54巻, 7号 pp 1930-1936. 2013
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MISC (25):
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Hashimoto Tsuyoshi. The IPSJ game informatics: Activity report. ICGA Journal. 2024. 46. 1. 36-38
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Kenshin Oga, Tsuyoshi Hashimoto. Learning with MuZero for real-world tasks. 2023. 2023-GI-49. 11. 1-6
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Okuda Makoto, Hashimoto Tsuyoshi. A system that allows AI players to make rich facial expressions in response to game situations. 2022. 2022. 55-60
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Nishikori Koji, Aoki Renju, Hashimoto Tsuyoshi. Research of Geister AI using UCT. 2022. 2022. 88-95
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Aoki Renju, Hashimoto Tsuyoshi. A Study on Geister AI using the policy gradient method for UCT. 2022. 2022. 68-73
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Books (2):
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ゲームAI研究の新展開
オーム社 2023 ISBN:4274230775
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人間に勝つコンピュータ将棋の作り方
技術評論社 全303頁 2012
Lectures and oral presentations (22):
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Develop of synchronized action judgement system using Bon Odori in VR space
(The 6th NIT-NUU Bilateral Academic Conference2023 2023)
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The Impact of Attack Priority Playout in Turn-Based Strategy Games
(2022)
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Research on how to reduce VR sickness by inserting dark scenes
(2021)
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不完全情報ゲーム『ガイスター』における2種の詰め問題の提案と考察
(第41回ゲーム情報学研究会 2019)
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HMDを用いた古典的ゲームの画面拡大による印象調査
(第41回ゲーム情報学研究会 2019)
more...
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