標題: 象棋棋形辨識之研究
Pattern Recognition in Chinese Chess
作者: 許俊彬
吳毅成
資訊科學與工程研究所
關鍵字: 象棋;棋形;棋型;Chinese Chess;Pattern
公開日期: 2005
摘要: 象棋是一個相當受歡迎的棋類遊戲,在世界各地有廣大的玩家,象棋AI程式更是近代一個相當熱門的領域,許多人投入這方面的研究,不論在學術或商業界,都有很多傑出的作品。如果能針對象棋AI程式的設計做探討,使AI能夠提高棋力,對於棋與資訊界都將是很大幫助。 本篇論文研究象棋類AI,把用在西洋棋、將棋與圍棋上的棋形辨識技術,做些探討與改善應用在象棋上面,並提出一套有系統的棋形建置方式,產生出能快速比對棋形的程式碼,最後評估並測量出象棋棋形辨識之效能及其實際應用於象棋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
Appears in Collections:Thesis


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