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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
局面ネットワーク特徴量とSVMを用いたHex評価関数の構築
| Title: | 局面ネットワーク特徴量とSVMを用いたHex評価関数の構築 |
| Other Titles: | Developing Evaluation Function of Hex using Board Network Characteristics and SVM |
| Authors: | 高田, 圭1 Browse this author | | 本庄, 将也2 Browse this author | | 飯塚, 博幸3 Browse this author →KAKEN DB | | 山本, 雅人4 Browse this author →KAKEN DB |
| Authors(alt): | Takada, Kei1 | | Honjo, Masaya2 | | Iizuka, Hiroyuki3 | | Yamamoto, Masahito4 |
| Keywords: | board network | | network characteristics | | board game |
| Issue Date: | 2015 |
| Publisher: | 社団法人人工知能学会 |
| Journal Title: | 人工知能学会論文誌 |
| Volume: | 30 |
| Issue: | 6 |
| Start Page: | 729 |
| End Page: | 736 |
| Publisher DOI: | 10.1527/tjsai.30-6_JWEIN-G |
| Abstract: | The game of Hex is the board game with simple rules and is classified as a two-player, zero-sum, logical perfect information game. The game proceeds by putting their pieces in turn on empty cells of the board. A player wins if the player connects the two opposing sides of the board with their own color pieces. Our previous study clarified that it is effective to develop a computer Hex strategies with the network characteristics as the evaluation function to evaluate the board states from the global and local perspectives and showed that there is the best parameter to decide the ratio between global and local evaluation during a match. In order to go beyond the strategy, we hypothesize that the ratio must change during a match depending on the board states as human players differently evaluate the board states at the beginning, middle and final stages. First, we examine the hypothesis whether the better wining rate can be achieved by changing the ratio of global and local evaluation and propose a novel computer Hex program that can evaluate the board states while changing the global and local evaluation by recognizing the board states with SVM. Our proposed method is evaluated with the current world-champion program called MoHex. |
| Type: | article |
| URI: | http://hdl.handle.net/2115/64565 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 山本 雅人
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