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 |
顯示於類別: | 畢業論文 |