DAN Yuya    Department   Matsuyama University  Department of Business Administration, Faculty of Business Administration    Position   Professor
Publication Date	2009/03
Type
Title	Reduction of misdirected search in game trees by human grid computing
Contribution Type
Journal	Journal of Informatics and Regional Studies
Publisher	Center for E-Business Studies, Uesugi Laboratory, Matsuyama University
Volume, Issue, Pages	35-42頁
Details	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.