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

ｍore...

MISC (28)：

Estimating Strategy and Imitating Play Style of Human Players Using Sequence Information in Mahjong. 2022. 2022. 118-122
Dynamic difficulty adjustment using evaluation values in competitive Tetris. 2022. 2022. 144-150
栃川純平, 竹内聖悟. ガイスターの初期盤面における相手駒推定の有効性. ゲームプログラミングワークショップ2020. 2020. 2020. 10-15
Harada T., Takeuchi S., Tanaka K., Mikawa K. A Packet Classification Algorithm via Decision Diagram Based on Run-Based Trie with Pointers. IEICE Technical Report. 2020. 120. 13. 25-32
竹内聖悟. Behavior of Monte-Carlo Tree Search with Increasing Playouts. ゲームプログラミングワークショップ2019論文集. 2019. 2019. 66-72

ｍore...

Patents (1)：

Lectures and oral presentations (5)：

Committee career (2)：

Awards (4)：

Association Membership(s) (1)：

INFORMATION PROCESSING SOCIETY OF JAPAN

※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page