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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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