Experiments on Infinite Model Finding in SMT Solving
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F23%3A00372208" target="_blank" >RIV/68407700:21730/23:00372208 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.29007/slrm" target="_blank" >https://doi.org/10.29007/slrm</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.29007/slrm" target="_blank" >10.29007/slrm</a>
Alternative languages
Result language
angličtina
Original language name
Experiments on Infinite Model Finding in SMT Solving
Original language description
We propose infinite model finding as a new task for SMT-Solving. Model finding has a long-standing tradition in SMT and automated reasoning in general. Yet, most of the current tools are limited to finite models despite the fact that many theories only admit infinite models. This paper shows a variety of such problems and evaluates synthesis approaches on them. Interestingly, state-of-the-art SMT solvers fail even on very small and simple problems. We target such problems by SyGuS tools as well as heuristic approaches.
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
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 24th International Conference on Logic for Programming, Artificial Intelligence and Reasoning (LPAR)
ISBN
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ISSN
2398-7340
e-ISSN
2398-7340
Number of pages
12
Pages from-to
317-328
Publisher name
EasyChair Publications
Place of publication
Manchester
Event location
Manizales
Event date
Jun 4, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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