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Algorithmic definitions for KLM-style defeasible disjunctive Datalog

机译:KLM样式缺失分析数据算法的算法定义

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Datalog is a declarative logic programming language that uses classical logical reasoning as its basic form of reasoning. Defeasible reasoning is a form of non-classical reasoning that is able to deal with exceptions to general assertions in a formal manner. The KLM approach to defeasible reasoning is an axiomatic approach based on the concept of plausible inference. Since Datalog uses classical reasoning, it is currently not able to handle defeasible implications and exceptions. We aim to extend the expressivity of Datalog by incorporating KLM-style defeasible reasoning into classical Datalog. We present a systematic approach for extending the KLM properties and a well-known form of defeasible entailment: Rational Closure. We conclude by exploring Datalog extensions of less conservative forms of defeasible entailment: Relevant and Lexicographic Closure. We provide algorithmic definitions for these forms of defeasible entailment and prove that the definitions are LM-rational.
机译:Datalog是一种声明性逻辑编程语言,它使用经典逻辑推理作为其基本推理的形式。不可取的推理是一种非古典推理的形式,可以以正式的方式处理通用断言的例外。 KLM难以应定推理的方法是基于合理推断概念的公理方法。由于Datalog使用经典推理,因此目前无法处理违法的含义和例外。我们的目标是通过将KLM-Siquly Itsive推理结合到古典数据歌曲中来扩展Datalog的表现。我们提出了一种用于扩展KLM性质的系统方法和众所周知的缺陷形式:Rational Closure。我们通过探索较少保守形式的不可取征集的Datalog扩展:相关和词典结束。我们为这些形式的缺陷引起的算法定义提供了算法定义,并证明了定义是LM-Rational的定义。

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