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Three-Valued Logic for Reasoning from an Inconsistent Knowledge Base

机译:从不一致的知识库中进行推理的三值逻辑

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Nontrivial reasoning under inconsistency, called paraconsistent reasoning, has been discussed mainly in two frameworks; one is the classical logic (consistency-based) framework and the other is the three-valued logic framework. In this paper, we propose a new entailment relation based on three-valued logic for reasoning from an inconsistent knowledge base, and discuss the relation between the previous two frameworks. A U-minimum model of the inconsistent knowledge base is defined in accordance with a principle of uncertainty minimization for three-valued models. We show that every set of atomic formulas assigned the additional third value in the U-minimum model is the minimum hitting set for the collection of sets each of which consists of atomic formulas occurring in the minimal inconsistent set of the knowledge base. Based on this result, we present an algorithm to compute the paraconsistent entailment relation by reducing the three-valued entailment relation to a two-valued classical entailment relation.
机译:不一致下的非平凡推理,称为超一致推理,主要在两个框架中讨论过。一个是经典逻辑(基于一致性)框架,另一个是三值逻辑框架。在本文中,我们从不一致的知识库中提出了一种基于三值逻辑的新的蕴含关系进行推理,并讨论了前两个框架​​之间的关系。根据三值模型的不确定性最小化原则,定义了不一致知识库的U最小模型。我们表明,在U最小模型中分配给附加第三值的每组原子公式是集合集合的最小命中集合,其中每组原子集合都包含在知识库的最小不一致集合中出现的原子公式。基于此结果,我们提出了一种算法,该算法通过将三值蕴含关系简化为二值经典蕴含关系来计算超常顺蕴含关系。

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