First Experiments with Neural cvc5
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F24%3A00375287" target="_blank" >RIV/68407700:21730/24:00375287 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.29007/h5dr" target="_blank" >https://doi.org/10.29007/h5dr</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.29007/h5dr" target="_blank" >10.29007/h5dr</a>
Alternative languages
Result language
angličtina
Original language name
First Experiments with Neural cvc5
Original language description
The cvc5 solver is today one of the strongest systems for solving first order problems with theories but also without them. In this work we equip its enumeration-based instan tiation with a neural network that guides the choice of the quantified formulas and their instances. For that we develop a relatively fast graph neural network that repeatedly scores all available instantiation options with respect to the available formulas. The network runs directly on a CPU without the need for any special hardware. We train the neural guidance on a large set of proofs generated by the e-matching instantiation strategy and evaluate its performance on a set of previously unseen problems.
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
Result was created during the realization of more than one project. More information in the Projects tab.
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
Proceedings of 25th Conference on Logic for Programming, Artificial Intelligence and Reasoning
ISBN
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ISSN
2398-7340
e-ISSN
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Number of pages
14
Pages from-to
264-277
Publisher name
EasyChair Publications
Place of publication
Manchester
Event location
Balaclava
Event date
May 26, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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