文化大學機構典藏 CCUR:Item 987654321/2473
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 47249/51115 (92%)
Visitors : 14195778      Online Users : 707
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    請使用永久網址來引用或連結此文件: https://irlib.pccu.edu.tw/handle/987654321/2473


    題名: Computer Chinese chess
    作者: Yen S.J. , Chen J.C. , Yang T.N., Hsu S.C.
    貢獻者: 資訊科學系
    日期: 2004
    上傳時間: 2009-11-02 11:28:02 (UTC+8)
    摘要: This article describes the current state of computer Chinese chess (Xiang Qi). For two reasons, Chinese-chess programming is important in the field of Artificial Intelligence. First, Chinese chess is one of the most popular and oldest board games worldwide; currently the strength of a Chinese-chess program can be compared to that of human players. Second, the complexity of Chinese chess is between that of chess and Go. We assume that after DEEP BLUE'S Victory over Kasparov in 1997, Chinese chess will be the next popular chess-like board game at which a program will defeat a human top player.
    In the article we introduce some techniques for developing Chinese-chess programs. In the Computer Olympiads of 2001 and 2002, the programs ELP and SHIGA were the top Chinese-chess programs. Although these two programs roughly have the same strength, they were developed following completely different techniques, as described in the article. The improvements of the best Chinese-chess programs over the last twenty years suggest that a human top player will be defeated before 2010.
    關聯: ICGA JOURNAL v.27 n.1 Pages: 3-18
    顯示於類別:[Department of Computer Science and Information Engineering] journal articles

    文件中的檔案:

    沒有與此文件相關的檔案.



    在CCUR中所有的資料項目都受到原著作權保護.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回饋