用 Isabelle/HOL 中的函数验证一阶逻辑的序列微积分证明器

IF 0.9 3区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Asta Halkjær From, Frederik Krogsdal Jacobsen
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引用次数: 0

摘要

我们介绍了带函数的一阶逻辑自动定理检验器的设计、实现和验证。证明搜索程序基于序列微积分,我们使用现有的共推证明树抽象框架,在 Isabelle/HOL 中正式验证了其合理性和完备性。我们的解析完备性证明涵盖开放式和封闭式公式。由于我们的确定性证明器只考虑与证明给定序列相关的术语子集,因此在从失败的证明建立反模型时,我们也是这样做的。最后,我们将证明者与现有 SeCaV 系统的证明系统和语义正式连接起来。特别是,证明者可以生成人类可读的 SeCaV 证明,这些证明也是机器可验证的证明证书。我们所依赖的抽象框架要求我们预先确定证明规则流,而与我们试图证明的公式无关。我们将讨论这对效率的影响以及缓解这些影响的困难。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Verifying a Sequent Calculus Prover for First-Order Logic with Functions in Isabelle/HOL

Verifying a Sequent Calculus Prover for First-Order Logic with Functions in Isabelle/HOL

We describe the design, implementation and verification of an automated theorem prover for first-order logic with functions. The proof search procedure is based on sequent calculus and we formally verify its soundness and completeness in Isabelle/HOL using an existing abstract framework for coinductive proof trees. Our analytic completeness proof covers both open and closed formulas. Since our deterministic prover considers only the subset of terms relevant to proving a given sequent, we do the same when building a countermodel from a failed proof. Finally, we formally connect our prover with the proof system and semantics of the existing SeCaV system. In particular, the prover can generate human-readable SeCaV proofs which are also machine-verifiable proof certificates. The abstract framework we rely on requires us to fix a stream of proof rules in advance, independently of the formula we are trying to prove. We discuss the efficiency implications of this and the difficulties in mitigating them.

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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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