Yoshiyuki Kotani

Home * People * Yoshiyuki Kotani

Yoshiyuki Kotani [1] Yoshiyuki Kotani,

a Japanese mathematician, computer scientist and professor at Department of Computer Science, Tokyo University of Agriculture and Technology. His research interests include natural language processing, computer vision, machine learning, and computer games with focus on Shogi. He is co-author of the Shogi program Mattari Yuuchan, Bronze medal winner in Minishogi at the 17th Computer Olympiad in Yokohama 2013. Yoshiyuki Kotani is further maze and puzzle designer [2] [3], and worked on the problem of domino tilings of polyominoes [4] .

1991 …#

• Hiroyuki Iida, Yoshiyuki Kotani (1991). Computer Shogi. The Proceedings of Game Playing System Workshop, ICOT, Tokyo, Japan.
• Hiroyuki Iida, Jos Uiterwijk, Yoshiyuki Kotani (1994). Tutoring Strategy in Game Playing. 1st Game Programming Workshop (Japanese)

1995 …#

• Masayuki Fujii, Hiroyuki Iida, Yoshiyuki Kotani (1995). Prediction of an opponent’s move using opponent’s time effectively. 2nd Game Programming Workshop
• Hiroyuki Iida, Yoshiyuki Kotani, Jos Uiterwijk (1995). Tutoring Strategies in Game-Tree Search. ICCA Journal, Vol. 18, No. 4, extended abstract as pdf
• Yoshiyuki Kotani, Hiroyuki Iida (1995). Which moves should be pruned - classification of Shogi Moves and Ratio of Played Moves. 2nd Game Programming Workshop
• Hirofumi Nakaie, Hiroyuki Iida, Yoshiyuki Kotani (1996). A Method of Applying Opening Book Data to Non-Recorded Positions. 3rd Game Programming Workshop
• Hirofumi Nakaie, Yoshiyuki Kotani (1997). A Method of Applying Opening Book Data by Partial Matching. 4th Game Programming Workshop
• Yoshihisa Nakayama, Yoshiyuki Kotani (1997). Characteristic of extended moves by singular extension to Shogi. 4th Game Programming Workshop
• Hiroyuki Iida, Yoshiyuki Kotani, Jos Uiterwijk, Jaap van den Herik (1997). Gains and Risks of OM Search. Advances in Computer Chess 8
• Akihiro Kishimoto, Yoshiyuki Kotani (1999). Parallel AND/OR tree search based on proof and disproof numbers. 5th Game Programming Workshop
• Yoshiyuki Kotani (1999). An Evaluation Function for Amazons. Proceedings of the 40th Programming Symposium, Information Processing Society of Japan, Tokyo, Japan (in Japanese)

2000 …#

• Yoshiyuki Kotani (2001). Example-based Piece Formation by Partial Matching in Shogi. Advances in Computer Games 9
• Kazutomo Shibahara, Nobuo Inui, Yoshiyuki Kotani (2002). Effect of ProbCut in Shogi - by changing parameters according to position category. 7th Game Programming Workshop

2005 …#

• Kazutomo Shibahara, Nobuo Inui, Yoshiyuki Kotani (2005). Adaptive Strategies of MTD-f for Actual Games. CIG 2005, pdf
• Keijirou Yanagi, Kazutomo Shibahara, Yasuhiro Tajima, Yoshiyuki Kotani (2006). Generation of Candidate Moves using Decision Tree in Shogi. 11th Game Programming Workshop
• Kazutomo Shibahara, Yasuhiro Tajima, Yoshiyuki Kotani (2006). A New Method of Dealing with GHI Problem for Proving Draw and Application to 3x4 Boards of Shogi. IPSJ Transactions, Vol. 47, No. 12
• Yasuhiro Osaki, Kazutomo Shibahara, Yasuhiro Tajima, Yoshiyuki Kotani (2007). Reinforcement Learning of Evaluation Functions Using Temporal Difference-Monte Carlo learning method. 12th Game Programming Workshop
• Kenta Sasaki, Kazutomo Shibahara, Yasuhiro Tajima, Yoshiyuki Kotani (2007). Generation of Candidate Moves using Move Probability Data of Each Coordinates in Go. 12th Game Programming Workshop
• Keijirou Yanagi, Kazutomo Shibahara, Yasuhiro Tajima, Yoshiyuki Kotani (2007). Multiple Parallel Search in Shogi. 12th Game Programming Workshop
• Yasuhiro Osaki, Kazutomo Shibahara, Yasuhiro Tajima, Yoshiyuki Kotani (2008). An Othello Evaluation Function Based on Temporal Difference Learning using Probability of Winning. CIG'08, pdf
• Kazutomo Shibahara, Yoshiyuki Kotani (2008). Combining Final Score with Winning Percentage using Sigmoid Function in Monte-Carlo Algorithm. 13th Game Programming Workshop, pdf
• Kenta Sasaki, Yoshiyuki Kotani (2009). Monte-Carlo Tree Search in the Game of Blokus-Duo. 14th Game Programming Workshop [7]
• Takuya Ugajin, Yoshiyuki Kotani (2009). The improvement of playout using transition probability of Monte Carlo Shogi. 14th Game Programming Workshop
• Tsuyoshi Tsukiji, Yoshiyuki Kotani (2009). An Effectivity of General Control in Learning Evaluation Function by Comparison of Sibling Nodes by Self-play. 14th Game Programming Workshop
• Yasuhiro Osaki, Yoshiyuki Kotani (2009). A Learning Method of Evaluation Function Based on Selective Simulations. 14th Game Programming Workshop

2010 …#

• Thitipong Kanjanapa, Kanako Komiya, Yoshiyuki Kotani (2012). Design and Implementation of Bonanza Method for the Evaluation in the Game of Arimaa. IPSJ SIG Technical Report, Vol. 2012-GI-27, No. 4, pdf » Arimaa, Automated Tuning
• Haruhiko Akiyama, Kanako Komiya, Yoshiyuki Kotani (2012). Nested Monte-Carlo Search with simulation reduction. Knowledge-Based Systems, Vol. 34 [8] [9]

External Links#

• 小谷 善行さん(Yoshiyuki Kotani) | Facebook
• Yoshiyuki Kotani’s ICGA Tournaments
• Yoshiyuki Kotani | Doctor of Engineering | Tokyo University of Agriculture and Technology, Tokyo, ResearchGate

References#

1. ↑ Yoshiyuki Kotani | Doctor of Engineering | Tokyo University of Agriculture and Technology, Tokyo, ResearchGate
2. ↑ Mazes - Puzzle
3. ↑ Adam E. Parker (1999). Kotani’s Ant Problem. Wittenberg University, pdf
4. ↑ Problem of the Month (May 2000) from Math Magic by Erich Friedman
5. ↑ ICGA Reference Database
6. ↑ dblp: Yoshiyuki Kotani
7. ↑ Blokus Duo from Wikipedia
8. ↑ Morpion solitaire from Wikipedia
9. ↑ Morpion Solitaire - Record Grids (5T game)

Up one level