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Equivalence Between Systems Stronger Than Resolution

In recent years there has been an increasing interest in studying proof systems stronger than Resolution, with the aim of building more efficient SAT solvers based on them. In defining these proof systems, we try to find a balance between the power of the proof system (the size of the proofs require...

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Autores principales: Bonet, Maria Luisa, Levy, Jordi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326561/
http://dx.doi.org/10.1007/978-3-030-51825-7_13
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author Bonet, Maria Luisa
Levy, Jordi
author_facet Bonet, Maria Luisa
Levy, Jordi
author_sort Bonet, Maria Luisa
collection PubMed
description In recent years there has been an increasing interest in studying proof systems stronger than Resolution, with the aim of building more efficient SAT solvers based on them. In defining these proof systems, we try to find a balance between the power of the proof system (the size of the proofs required to refute a formula) and the difficulty of finding the proofs. Among those proof systems we can mention Circular Resolution, MaxSAT Resolution with Extensions and MaxSAT Resolution with the Dual-Rail encoding. In this paper we study the relative power of those proof systems from a theoretical perspective. We prove that Circular Resolution and MaxSAT Resolution with extension are polynomially equivalent proof systems. This result is generalized to arbitrary sets of inference rules with proof constructions based on circular graphs or based on weighted clauses. We also prove that when we restrict the Split rule (that both systems use) to bounded size clauses, these two restricted systems are also equivalent. Finally, we show the relationship between these two restricted systems and Dual-Rail MaxSAT Resolution.
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spelling pubmed-73265612020-07-01 Equivalence Between Systems Stronger Than Resolution Bonet, Maria Luisa Levy, Jordi Theory and Applications of Satisfiability Testing – SAT 2020 Article In recent years there has been an increasing interest in studying proof systems stronger than Resolution, with the aim of building more efficient SAT solvers based on them. In defining these proof systems, we try to find a balance between the power of the proof system (the size of the proofs required to refute a formula) and the difficulty of finding the proofs. Among those proof systems we can mention Circular Resolution, MaxSAT Resolution with Extensions and MaxSAT Resolution with the Dual-Rail encoding. In this paper we study the relative power of those proof systems from a theoretical perspective. We prove that Circular Resolution and MaxSAT Resolution with extension are polynomially equivalent proof systems. This result is generalized to arbitrary sets of inference rules with proof constructions based on circular graphs or based on weighted clauses. We also prove that when we restrict the Split rule (that both systems use) to bounded size clauses, these two restricted systems are also equivalent. Finally, we show the relationship between these two restricted systems and Dual-Rail MaxSAT Resolution. 2020-06-26 /pmc/articles/PMC7326561/ http://dx.doi.org/10.1007/978-3-030-51825-7_13 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Bonet, Maria Luisa
Levy, Jordi
Equivalence Between Systems Stronger Than Resolution
title Equivalence Between Systems Stronger Than Resolution
title_full Equivalence Between Systems Stronger Than Resolution
title_fullStr Equivalence Between Systems Stronger Than Resolution
title_full_unstemmed Equivalence Between Systems Stronger Than Resolution
title_short Equivalence Between Systems Stronger Than Resolution
title_sort equivalence between systems stronger than resolution
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326561/
http://dx.doi.org/10.1007/978-3-030-51825-7_13
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