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On CDCL-Based Proof Systems with the Ordered Decision Strategy

We prove that CDCL SAT-solvers with the ordered decision strategy and the DECISION learning scheme are equivalent to ordered resolution. We also prove that, by replacing this learning scheme with its opposite, which learns the first possible non-conflict clause, they become equivalent to general res...

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Autores principales: Mull, Nathan, Pang, Shuo, Razborov, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326566/
http://dx.doi.org/10.1007/978-3-030-51825-7_12
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author Mull, Nathan
Pang, Shuo
Razborov, Alexander
author_facet Mull, Nathan
Pang, Shuo
Razborov, Alexander
author_sort Mull, Nathan
collection PubMed
description We prove that CDCL SAT-solvers with the ordered decision strategy and the DECISION learning scheme are equivalent to ordered resolution. We also prove that, by replacing this learning scheme with its opposite, which learns the first possible non-conflict clause, they become equivalent to general resolution. In both results, we allow nondeterminism in the solver’s ability to perform unit propagation, conflict analysis, and restarts in a way that is similar to previous works in the literature. To aid the presentation of our results, and possibly future research, we define a model and language for CDCL-based proof systems – particularly those with nonstandard features – that allow for succinct and precise theorem statements.
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spelling pubmed-73265662020-07-01 On CDCL-Based Proof Systems with the Ordered Decision Strategy Mull, Nathan Pang, Shuo Razborov, Alexander Theory and Applications of Satisfiability Testing – SAT 2020 Article We prove that CDCL SAT-solvers with the ordered decision strategy and the DECISION learning scheme are equivalent to ordered resolution. We also prove that, by replacing this learning scheme with its opposite, which learns the first possible non-conflict clause, they become equivalent to general resolution. In both results, we allow nondeterminism in the solver’s ability to perform unit propagation, conflict analysis, and restarts in a way that is similar to previous works in the literature. To aid the presentation of our results, and possibly future research, we define a model and language for CDCL-based proof systems – particularly those with nonstandard features – that allow for succinct and precise theorem statements. 2020-06-26 /pmc/articles/PMC7326566/ http://dx.doi.org/10.1007/978-3-030-51825-7_12 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
Mull, Nathan
Pang, Shuo
Razborov, Alexander
On CDCL-Based Proof Systems with the Ordered Decision Strategy
title On CDCL-Based Proof Systems with the Ordered Decision Strategy
title_full On CDCL-Based Proof Systems with the Ordered Decision Strategy
title_fullStr On CDCL-Based Proof Systems with the Ordered Decision Strategy
title_full_unstemmed On CDCL-Based Proof Systems with the Ordered Decision Strategy
title_short On CDCL-Based Proof Systems with the Ordered Decision Strategy
title_sort on cdcl-based proof systems with the ordered decision strategy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326566/
http://dx.doi.org/10.1007/978-3-030-51825-7_12
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