Shogo Takeuchi

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Shogo Takeuchi, a Japanese computer scientist, lecturer at School of Information, Kochi University of Technology, and previously postdoc at Graduate School of Frontier Sciences, the University of Tokyo. His research interests include performance evaluation, search and learning algorithms in the computer board games of Shogi, Chess, Go, and Othello.

=Selected Publications=

2007 ...

 * Shogo Takeuchi, Tomoyuki Kaneko, Kazunori Yamaguchi, Satoru Kawai (2007). Visualization and Adjustment of Evaluation Functions Based on Evaluation Values and Win Probability. AAAI 2007, pdf
 * Shogo Takeuchi, Tomoyuki Kaneko, Kazunori Yamaguchi (2008). Evaluation of Monte Carlo tree search and the application to Go. CIG 2008, pdf

2010 ...

 * Shogo Takeuchi, Tomoyuki Kaneko, Kazunori Yamaguchi (2010). Evaluation of Game Tree Search Methods by Game Records. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 2, No. 4
 * Shogo Takeuchi, Jun Kawahara, Akihiro Kishimoto, Shin-ichi Minato (2013). Shared-Memory Parallel Frontier-Based Search. WALCOM 2013
 * Yoshikuni Sato, Makoto Miwa, Shogo Takeuchi, Daisuke Takahashi (2013). Optimizing Objective Function Parameters for Strength in Computer Game-Playing. AAAI 2013

2015 ...

 * Shogo Takeuchi, Tomoyuki Kaneko (2015). Estimating Ratings of Computer Players by the Evaluation Scores and Principal Variations in Shogi. ACIT-CSI
 * Shogo Takeuchi (2018). Weighted Majority Voting with a Heterogeneous System in the Game of Shogi. TAAI 2018
 * Shogo Takeuchi (2019). Advice is Useful for Game AI: Experiments with Alpha-Beta Search Players in Shogi. Advances in Computer Games 16

=External Links=
 * Shogo Takeuchi's web site
 * Shogo Takeuchi - Google Scholar Citations
 * Shogo Takeuchi | LinkedIn

=References=

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