ダン ユウヤ
DAN Yuya
檀 裕也 所属 松山大学 経営学部 経営学科 職種 教授 |
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発行・発表の年月 | 2009/03 |
形態種別 | 学術論文 |
標題 | Reduction of misdirected search in game trees by human grid computing |
執筆形態 | 単著 |
掲載誌名 | Journal of Informatics and Regional Studies |
出版社・発行元 | Center for E-Business Studies, Uesugi Laboratory, Matsuyama University |
巻・号・頁 | 1(1),35-42頁 |
概要 | The paper is concerned in human grid computing for artificial intelligence systems. In general, grid computing enables to process a huge amount of data in any fields, however, grid systems for Shogi, or Japanese chess, need to process astronomical combinations of possible positions. It is described that the proposed system is effective in reduction of computational complexity with collaboration from human intuition. A solution to the next move problem as artificial intelligence systems will be discussed. The paper introduces the current state of computer Shogi systems, and then proposes an idea of the interaction between human and grid computing in order to solve the next move problem in game theory. We suggest possibility of the human grid computing for artificial intelligence systems. It is described that the present situation of computer Shogi systems and the possibility of the human grid computing which assists the position evaluate function by intuition. The wisdom of crowds can make up qualitatively for grid systems essentially based on the concept of Web 2.0. While the design of the human grid computing is proposed, the development of that is left open. The human grid computing organized by amateur Shogi players may win against Meijin before 2015. |