文章基本信息

标题：Evolutionary Neural Network for Othello Game
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作者：Gunawan ; Gunawan ; Hendrawan Armanto 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2012
卷号：57
页码：419-425
DOI：10.1016/j.sbspro.2012.09.1206
语种：English
出版社：Elsevier
摘要：AbstractGame playing is a game method that require an AI (Artificial Intelligence), so that an AI can play against human in a game. Artificial intelligence involves two basic ideas[4]. First, it involves studying the thought processes of human beings. Second, it deals with representing those processes via machines (like computers, robots, etc.). AI is behavior of a machine, which, if performed by a human being, would be called intelligent. It makes machines smarter and more useful, and is less expensive than natural intelligence.Othello is one example of game playing using AI. Even though it may appear as though Othello is a fairly simple game, there still are many important aspects of the game to consider. The most important of these are the evaluation function and searching algorithms. Why are these important? First of all, the game would be nothing without an evaluation function. And there are many interesting aspects of the evaluation which can greatly affect both efficiency as well as game play. Second, a good searching algorithm can fulfill the ideal properties of a good heuristic, providing a good answer in a reasonable amount of time.
关键词：Game Playing;Neural Network;Reversi;Genetic;Evolutionary Neural Network