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Tableaux for Automated Reasoning in Dependently-Typed Higher-Order Logic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F24%3A00380916" target="_blank" >RIV/68407700:21730/24:00380916 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-031-63498-7_6" target="_blank" >https://doi.org/10.1007/978-3-031-63498-7_6</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-63498-7_6" target="_blank" >10.1007/978-3-031-63498-7_6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Tableaux for Automated Reasoning in Dependently-Typed Higher-Order Logic

  • Original language description

    Dependent type theory gives an expressive type system facilitating succinct formalizations of mathematical concepts. In practice, it is mainly used for interactive theorem proving with intensional type theories, with PVS being a notable exception. In this paper, we present native rules for automated reasoning in a dependently-typed version (DHOL) of classical higher-order logic (HOL). DHOL has an extensional type theory with an undecidable type checking problem which contains theorem proving. We implemented the inference rules as well as an automatic type checking mode in Lash, a fork of Satallax, the leading tableaux-based prover for HOL. Our method is sound and complete with respect to provability in DHOL. Completeness is guaranteed by the incorporation of a sound and complete translation from DHOL to HOL recently proposed by Rothgang et al. While this translation can already be used as a preprocessing step to any HOL prover, to achieve better performance, our system directly works in DHOL. Moreover, experimental results show that the DHOL version of Lash can outperform all major HOL provers executed on the translation.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/LL1902" target="_blank" >LL1902: Powering SMT Solvers by Machine Learning</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Automated Reasoning

  • ISBN

    978-3-031-63498-7

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    19

  • Pages from-to

    86-104

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Nancy

  • Event date

    Jul 1, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001273489700006