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Advanced Meta-knowledge for Chinese Chess Endgame Knowledge Bases

机译:中国象棋残局知识库的高级元知识

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摘要

The proper evaluation of a possible transition from the middle game to the endgame is an important research issue. We constructed an endgame knowledge base that consists of a large set of endgame heuristics that supports the evaluation. Moreover, a general graph model is proposed to resolve conflicts between two competing material combinations. However, it turned out to be difficult to find such competing material combinations. We need better meta-knowledge rules to find more potential conflicts. In this article, we propose five meta-knowledge rules for Chinese chess. Two examples of meta-knowledge rules are piece exchanges and pawn exchanges. The meta-knowledge rules are inducted from real games played by masters. The heuristics so found are endowed with confidence factors to show their chances of being correct. Using this method, 20% of a previous constructed body of endgame knowledge, consisting of 124,747 material combinations, was found to be erroneous. About 82.13% of these heuristic errors are auto-corrected using our algorithm. By using the corrected knowledge base, the strength of our game-playing program, Contemplation, is clearly improved according to self-play tests.
机译:适当评估从中间游戏到最终游戏的可能过渡是一个重要的研究问题。我们构建了一个残局知识库,其中包括支持评估的大量残局试探法。此外,提出了一种通用图形模型来解决两个竞争材料组合之间的冲突。然而,事实证明很难找到这种竞争的材料组合。我们需要更好的元知识规则来发现更多潜在冲突。在本文中,我们提出了五种关于中国象棋的元知识规则。元知识规则的两个示例是件交换和典当交换。元知识规则是从大师玩的真实游戏中得出的。如此发现的启发式方法具有置信度,以显示其正确的机会。使用这种方法,发现以前构造的残局知识体系的20%(由124,747种材料组合组成)是错误的。使用我们的算法可以自动纠正这些启发式错误中的约82.13%。通过使用更正后的知识库,根据自玩测试,我们的游戏程序“思考”的强度明显得到提高。

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  • 来源
    《ICGA journal》 |2014年第1期|17-24|共8页
  • 作者单位

    Institute of Information Science, Academia Sinica, Taipei, Taiwan;

    Institute of Information Science, Academia Sinica, Taipei, Taiwan;

    Department of Information Management, Chang Jung Christian University, Tainan, Taiwan;

    Department of Applied Mathematics, Chung Yuan Christian University, Taoyuan, Taiwan;

    Institute of Information Science, Academia Sinica, Taipei, Taiwan;

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