Initial Limit Datalog: a new extensible class of decidable constrained Horn clauses

Toby Cathcart Burn, Luke Ong, Steven Ramsay, Dominik Wagner

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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    113 Downloads (Pure)

    Abstract

    We present initial limit Datalog, a new extensible class of constrained Horn clauses for which the satisfiability problem is decidable. The class may be viewed as a generalisation to higher-order logic (with a simple restriction on types) of the first-order language limit Datalog Z (a fragment of Datalog modulo linear integer arithmetic), but can be instantiated with any suitable background theory. For example, the fragment is decidable over any countable well-quasi-order with a decidable first-order theory, such as natural number vectors under componentwise linear arithmetic, and words of a bounded, context-free language ordered by the subword relation. Formulas of initial limit Datalog have the property that, under some assumptions on the background theory, their satisfiability can be witnessed by a new kind of term model which we call entwined structures. Whilst the set of all models is typically uncountable, the set of all entwined structures is recursively enumerable, and model checking is decidable.
    Original languageEnglish
    Title of host publicationProceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS 2021)
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Number of pages1
    ISBN (Electronic)9781665448956
    DOIs
    Publication statusPublished - 7 Jul 2021
    Event2021 36th Annual Symposium on Logic in Computer Science - Online
    Duration: 29 Jun 20212 Jul 2021
    http://easyconferences.eu/lics2021/

    Publication series

    NameProceedings - Symposium on Logic in Computer Science
    Volume2021-June
    ISSN (Print)1043-6871

    Conference

    Conference2021 36th Annual Symposium on Logic in Computer Science
    Abbreviated titleACM/IEEE LICS 2021
    Period29/06/212/07/21
    Internet address

    Bibliographical note

    Funding Information:
    The US Department of Energy Office of Energy Research funded this work at the Pacific Northwest National Laboratory under contract DE-AC06-76RLO 1830.

    Publisher Copyright:
    © 2021 IEEE.

    Research Groups and Themes

    • Programming Languages

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