Takeuchi Shogo

Affiliation and department：
Homepage URL (1)： https://sites.google.com/site/takeshogo/

Research field (1)： Entertainment and game informatics

Research keywords (2)：人工知能 , ゲーム情報学

Research theme for competitive and other funds (5)：

Papers (18)：

Generating Playout Policy of Monte Carlo Geister Using Genetic Programming. 2023. 64. 3. 708-716
竹内聖悟, 栃川純平, 松崎公紀. 不完全情報ゲーム「ガイスター」における相手駒色推定の有効性評価. 2022. 63. 3. 787-795
Shogo Takeuchi. Comparison of Search Behaviors in Chess, Shogi, and the game of Go. International Conference on Technologies and Applications of Artificial Intelligence(TAAI). 2022. 183-188
原田崇司, 竹内聖悟. Circ1P分割問題の計算困難性とSATソルバを用いたその解法. 電子情報通信学会論文誌 D. 2020. J103-D. 11. 800-807
Shogo Takeuchi. Advice is useful for game AIs: Experiments with alpha-beta search players in Shogi. The 16th Advances in Computer Games Conference (ACG2019). 2019

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MISC (35)：

原田崇司, 竹内聖悟. Finding Blocking on ZDD with Hitting Set. 電子情報通信学会技術研究報告(Web). 2024. 124. 12(COMP2024 1-9)
Feature and Strength Analysis Using Mean value loss in Shogi. 2023. 2023. 88-93
Research on Human-like AI in Comepetitive Tetris AI Using Biological Constraints. 2023. 2023. 42-47
原田崇司, 竹内聖悟. Finding Forcing on ZDD by Dynamic Programming. 電子情報通信学会技術研究報告(Web). 2023. 122. 414(COMP2022 33-37)
Estimating Strategy and Imitating Play Style of Human Players Using Sequence Information in Mahjong. 2022. 2022. 118-122

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Patents (1)：

Lectures and oral presentations (5)：

Committee career (4)：

Awards (4)：

Association Membership(s) (1)：

INFORMATION PROCESSING SOCIETY OF JAPAN

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