First Experiments with Neural cvc5

Fuente: arXiv
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Hauptverfasser: Piepenbrock, Jelle, Janota, Mikoláš, Jakubův, Jan
Format: Preprint
Veröffentlicht: 2025
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author Piepenbrock, Jelle
Janota, Mikoláš
Jakubův, Jan
author_facet Piepenbrock, Jelle
Janota, Mikoláš
Jakubův, Jan
contents he 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 instantiation 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.
format Preprint
id arxiv_https___arxiv_org_abs_2501_09379
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle First Experiments with Neural cvc5
Piepenbrock, Jelle
Janota, Mikoláš
Jakubův, Jan
Logic in Computer Science
he 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 instantiation 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.
title First Experiments with Neural cvc5
topic Logic in Computer Science
url https://arxiv.org/abs/2501.09379