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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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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. |
format | Online Article Text |
id | pubmed-7326566 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT mullnathan oncdclbasedproofsystemswiththeordereddecisionstrategy AT pangshuo oncdclbasedproofsystemswiththeordereddecisionstrategy AT razborovalexander oncdclbasedproofsystemswiththeordereddecisionstrategy |