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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/11646
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| タイトル: | Production of Various Strategies and Position Control for Monte-Carlo Go - Entertaining human players |
| 著者: | Ikeda, Kokolo
Viennot, Simon |
| キーワード: | Monte Carlo Tree Search
Entertaining Player
Game of Go
Position Control
Variety of Strategy |
| 発行日: | 2013-08 |
| 出版者: | Institute of Electrical and Electronics Engineers (IEEE) |
| 誌名: | 2013 IEEE Conference on Computational Intelligence in Games (CIG) |
| 開始ページ: | 1 |
| 終了ページ: | 8 |
| DOI: | 10.1109/CIG.2013.6633625 |
| 抄録: | Thanks to the continued development of tree search algorithms, of more precise evaluation functions, and of faster hardware, computer Go and computer Shogi have now reached a level of strength sufficient for most amateur players. However, the research about entertaining and coaching human players of board games is still very limited. In this paper, we try first to define what are the requirements for entertaining human players in computer board games. Then, we describe the different approaches that we have experimented in the case of Monte-Carlo computer Go. |
| Rights: | This is the author's version of the work. Copyright (C) 2013 IEEE. 2013 IEEE Conference on Computational Intelligence in Games (CIG), 2013, 1-8. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| URI: | http://hdl.handle.net/10119/11646 |
| 資料タイプ: | author |
| 出現コレクション: | b11-1. 会議発表論文・発表資料 (Conference Papers)
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このアイテムのファイル:
| ファイル |
記述 |
サイズ | 形式 |
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| 19520.pdf | | 416Kb | Adobe PDF | 見る/開く |
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