通过支持图解释模型

IF 1.4 2区 数学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
PEDRO CABALAR, BRAIS MUÑIZ
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引用次数: 0

摘要

在本注释中,我们引入了支持图的概念,以定义任何逻辑程序模型的解释。解释是一个非循环的支持图,对于模型中的每个真原子,它都能用标签表示的程序规则诱导出一个证明。一个经典模型可能有零个、一个或多个解释:当它至少有一个解释时,就被称为有理模型。我们证明了所有稳定的模型都是有理模型,而对于互斥程序,一些有理模型可能并不稳定。我们还在答案集编程中提供了一种元编程编码,可以为某个程序的给定稳定模型生成解释。我们证明该编码是完善和完整的,也就是说,编码的每个答案集与原始稳定模型的每个解释之间存在一一对应关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model Explanation via Support Graphs
In this note, we introduce the notion of support graph to define explanations for any model of a logic program. An explanation is an acyclic support graph that, for each true atom in the model, induces a proof in terms of program rules represented by labels. A classical model may have zero, one or several explanations: when it has at least one, it is called a justified model. We prove that all stable models are justified, whereas, for disjunctive programs, some justified models may not be stable. We also provide a meta-programming encoding in Answer Set Programming that generates the explanations for a given stable model of some program. We prove that the encoding is sound and complete, that is, there is a one-to-one correspondence between each answer set of the encoding and each explanation for the original stable model.
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来源期刊
Theory and Practice of Logic Programming
Theory and Practice of Logic Programming 工程技术-计算机:理论方法
CiteScore
4.50
自引率
21.40%
发文量
40
审稿时长
>12 weeks
期刊介绍: Theory and Practice of Logic Programming emphasises both the theory and practice of logic programming. Logic programming applies to all areas of artificial intelligence and computer science and is fundamental to them. Among the topics covered are AI applications that use logic programming, logic programming methodologies, specification, analysis and verification of systems, inductive logic programming, multi-relational data mining, natural language processing, knowledge representation, non-monotonic reasoning, semantic web reasoning, databases, implementations and architectures and constraint logic programming.
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