SAT Meets Tableaux for Linear Temporal Logic Satisfiability

IF 0.9 3区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Luca Geatti, Nicola Gigante, Angelo Montanari, Gabriele Venturato
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引用次数: 0

Abstract

Linear temporal logic (\(\textsf{LTL}\,\)) and its variant interpreted on finite traces (\(\textsf{LTL}_{\textsf{f}\,}\)) are among the most popular specification languages in the fields of formal verification, artificial intelligence, and others. In this paper, we focus on the satisfiability problem for \(\textsf{LTL}\,\)and \(\textsf{LTL}_{\textsf{f}\,}\)formulas, for which many techniques have been devised during the last decades. Among these are tableau systems, of which the most recent is Reynolds’ tree-shaped tableau. We provide a SAT-based algorithm for \(\textsf{LTL}\,\)and \(\textsf{LTL}_{\textsf{f}\,}\)satisfiability checking based on Reynolds’ tableau, proving its correctness and discussing experimental results obtained through its implementation in the BLACK satisfiability checker.

Abstract Image

线性时态逻辑满足性的 SAT Meets Tableaux
线性时态逻辑(\(textsf{LTL}\))及其在有限踪迹上解释的变体(\(\textsf{LTL}_{textsf{f}\))是形式验证、人工智能等领域最流行的规范语言之一。在本文中,我们将重点讨论 \(\textsf{LTL}\)and\(\textsf{LTL}_{textsf{f}\)formulas 的可满足性问题,在过去的几十年中,已经有很多技术被设计出来。其中包括 tableau 系统,最新的是 Reynolds 的树形 tableau。我们提供了一种基于SAT的算法,用于基于雷诺表的(textsf{LTL}\,\)和(textsf{LTL}_{textsf{f}\,})可满足性检查,证明了其正确性,并讨论了在BLACK可满足性检查器中实现该算法所获得的实验结果。
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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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