标题: 象棋棋形辨识之研究
Pattern Recognition in Chinese Chess
作者: 许俊彬
吴毅成
资讯科学与工程研究所
关键字: 象棋;棋形;棋型;Chinese Chess;Pattern
公开日期: 2005
摘要: 象棋是一个相当受欢迎的棋类游戏,在世界各地有广大的玩家,象棋AI程式更是近代一个相当热门的领域,许多人投入这方面的研究,不论在学术或商业界,都有很多杰出的作品。如果能针对象棋AI程式的设计做探讨,使AI能够提高棋力,对于棋与资讯界都将是很大帮助。

本篇论文研究象棋类AI,把用在西洋棋、将棋与围棋上的棋形辨识技术,做些探讨与改善应用在象棋上面,并提出一套有系统的棋形建置方式,产生出能快速比对棋形的程式码,最后评估并测量出象棋棋形辨识之效能及其实际应用于象棋AI程式的效果。
Chinese Chess is a very popular game played by many people in the world. And Chinese Chess AI program is researched widely nowadays.

This thesis studies AI Programming for Chinese Chess-like Games and improves the original technology used in Chess, Shogi and Go in order to apply it on Chinese Chess. It also proposes a new systematical process to build patterns. We evaluate and measure the efficiency of Chinese Chess pattern recognition and the actual effect when using it in the Chinese Chess AI program.
URI: http://140.113.39.130/cdrfb3/record/nctu/#GT009317538
http://hdl.handle.net/11536/78749
显示于类别:Thesis


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