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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