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Explanation facilities for expert systems: how we can make intelligent systems more intelligent

机译:专家系统的解释设施:我们如何使智能系统更加智能

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This paper aims to describe ongoing research into the issue of explanation in intelligent systems. Explanation has been considered as an essential facility in traditional expert systems. The existing methods do not take into consideration the linguistic context of the input question. Our approach starts from the remark that we cannot have a complete explanation if we do not take into consideration the different interpretations of the question. In this paper we discuss the problem of explanation generation in expert systems and present an environment that generates complete explanations (the 'Explanatory Environment') and an interface that allows experts to insert easily data to the Explanatory Environment (the 'Knowledge Acquisition System for Explanation').
机译:本文旨在描述智能系统解释问题的持续研究。解释被认为是传统专家系统中的重要设施。现有方法不考虑输入问题的语言背景。我们的方法从备注开始,如果我们不考虑对问题的不同解释,我们就无法完整的解释。在本文中,我们讨论了专家系统中的解释的问题,并呈现了一种生成完整解释的环境(“解释性环境”)和允许专家将容易数据插入到解释性环境(“知识获取系统”的接口(用于解释)的接口')。

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