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    利用类比知识的基于解释的学习

    Explanation-Based Learning With Analogy Knowledge

    • 摘要: 本文介绍如何将示例中包含的新的知识通过基于解释的学习加入到原来不完善的领域知识库中去。整个学习过程是在示例的引导下依据领域理论和类比知识进行推理的纯演绎过程。因此,经过改进的领域理论可以保持其正确性。系统的原型在SUN工作站上用QUINTUSPROLOG实现。

       

      Abstract: In this paper we show how to integrate the new knowledge in examples with incomplete domain theory through Explanation-Based Learning. The learning procedure, which is based on domain theory and analogy knowledge and guided by an example, is purely deductive, so that the revised domain theory can keep its correctness. The prototype is implemented in QUINTUS PROLOG at SUN workstation.

       

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