饱和定理证明的综合框架

IF 0.9 3区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Automated Reasoning Pub Date : 2022-01-01 Epub Date: 2022-06-07 DOI:10.1007/s10817-022-09621-7
Uwe Waldmann, Sophie Tourret, Simon Robillard, Jasmin Blanchette
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引用次数: 0

摘要

饱和定理证明器的一个关键操作是删除子公式。然而,证明计算器的设计者通常只是非正式地讨论这个问题,而罕见的正式阐述往往显得笨拙。这是因为动态反驳完备性和静态反驳完备性的等价性只适用于所有删除的公式都是冗余的推导,但标准的冗余概念太弱:子句 C 不会使实例 C σ 成为冗余。我们为实现饱和计算(如有序解析和叠加)的抽象证明器提出了一个形式化反驳完备性证明框架。该框架模块化地扩展了通过我们熟悉的从地面到非地面的提升而得出的冗余标准。它允许我们扩展冗余标准,使其涵盖子假设,还允许我们对整个证明器架构进行建模,使微积分的静态驳斥完备性立即意味着在奥特循环或DISCOUNT循环等内部实现微积分的证明器的动态驳斥完备性。我们的框架在 Isabelle/HOL 中实现了机械化。
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A Comprehensive Framework for Saturation Theorem Proving.

A crucial operation of saturation theorem provers is deletion of subsumed formulas. Designers of proof calculi, however, usually discuss this only informally, and the rare formal expositions tend to be clumsy. This is because the equivalence of dynamic and static refutational completeness holds only for derivations where all deleted formulas are redundant, but the standard notion of redundancy is too weak: A clause C does not make an instance C σ redundant. We present a framework for formal refutational completeness proofs of abstract provers that implement saturation calculi, such as ordered resolution and superposition. The framework modularly extends redundancy criteria derived via a familiar ground-to-nonground lifting. It allows us to extend redundancy criteria so that they cover subsumption, and also to model entire prover architectures so that the static refutational completeness of a calculus immediately implies the dynamic refutational completeness of a prover implementing the calculus within, for instance, an Otter or DISCOUNT loop. Our framework is mechanized in Isabelle/HOL.

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来源期刊
Journal of Automated Reasoning
Journal of Automated Reasoning 工程技术-计算机:人工智能
CiteScore
3.60
自引率
9.10%
发文量
31
审稿时长
>12 weeks
期刊介绍: The Journal of Automated Reasoning is an interdisciplinary journal that maintains a balance between theory, implementation and application. The spectrum of material published ranges from the presentation of a new inference rule with proof of its logical properties to a detailed account of a computer program designed to solve various problems in industry. The main fields covered are automated theorem proving, logic programming, expert systems, program synthesis and validation, artificial intelligence, computational logic, robotics, and various industrial applications. The papers share the common feature of focusing on several aspects of automated reasoning, a field whose objective is the design and implementation of a computer program that serves as an assistant in solving problems and in answering questions that require reasoning. The Journal of Automated Reasoning provides a forum and a means for exchanging information for those interested purely in theory, those interested primarily in implementation, and those interested in specific research and industrial applications.
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