Finite Quantified Linear Temporal Logic and Its Satisfiability Checking

Yu Chen, Xiaoyu Zhang, Jianwen Li*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, we present Finite Quantified Linear Temporal Logic (FQLTL), a new formal specification language which extends Linear Temporal Logic (LTL) with quantifiers over finite domains. Explicitly, FQLTL leverages quantifiers and predicates to constrain the domains in the system and utilizes temporal operators from LTL to specify properties with time sequences. Compared to LTL, FQLTL is more suitable and accessible to describe the specification with both restricted domains and temporal properties, which can be applied to the scenarios such as railway transition systems. In addition, this paper proposes a methodology to check FQLTL satisfiability, releasing the corresponding checker for potential users to further use. Towards experiments, we show that by applying the logic to the railway transit system, most of the safety specifications can be formalized and several inconsistent specifications are reported through our implemented satisfiability checker.

Original languageEnglish
Title of host publicationArtificial Intelligence Logic and Applications - The 2nd International Conference, AILA 2022, Proceedings
EditorsYixiang Chen, Songmao Zhang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-18
Number of pages16
ISBN (Print)9789811975097
DOIs
StatePublished - 2022
Event2nd International Conference on Artificial Intelligence Logic and Applications, AILA 2022 - Virtual, Online
Duration: 26 Aug 202228 Aug 2022

Publication series

NameCommunications in Computer and Information Science
Volume1657 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference2nd International Conference on Artificial Intelligence Logic and Applications, AILA 2022
CityVirtual, Online
Period26/08/2228/08/22

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