基于条件知识库的局部推理方法

S. Benferhat, Laurent Garcia
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引用次数: 2

摘要

本文研究了一种使用条件知识库进行推理的局部方法(默认规则的形式为“通常,if /spl alpha/ then /spl beta/”,并且可能有例外)。其思想是,当冲突出现时(由于观察到异常情况),人们首先定位导致冲突的信息集。接下来,使用专用性原则(子类必须优先于一般类),作者将优先级附加到每个冲突中的默认规则上。这些优先级,从知识库隐式计算,反映了知识库的层次结构。最后,他们对冲突进行排序,并以一种仅从知识库中放弃最小规则集的方式解决冲突,以恢复知识库的一致性。这种处理冲突的局部方法正确地解决了众所周知的专一性、不相关性、继承阻塞等问题。
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A local approach to reasoning with conditional knowledge bases
The paper investigates a local approach for reasoning with conditional knowledge bases (with default rules of the form "generally, if /spl alpha/ then /spl beta/" and having possibly so,ne exceptions). The idea is that when a conflict appears (due to observing exceptional situations), one first localizes the sets of pieces of information which are responsible for conflicts. Next, using a specificity principle (subclasses must be preferred to general classes), the authors attach priorities to default rules inside each conflict. These priorities, implicitly computed from the knowledge base, reflect the hierarchical structure of the knowledge base. Lastly, they rank-order and solve conflicts in a way that only minimal sets of rules are given up from the knowledge base in order to restore its consistency. This local method of dealing with conflicts addresses correctly the well known problems of specificity, irrelevance, blocking of inheritance, etc.
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