Cargando…

A Lower Bound on DNNF Encodings of Pseudo-Boolean Constraints

Two major considerations when encoding pseudo-Boolean (PB) constraints into SAT are the size of the encoding and its propagation strength, that is, the guarantee that it has a good behaviour under unit propagation. Several encodings with propagation strength guarantees rely upon prior compilation of...

Descripción completa

Detalles Bibliográficos
Autor principal: de Colnet, Alexis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326562/
http://dx.doi.org/10.1007/978-3-030-51825-7_22
_version_ 1783552371547176960
author de Colnet, Alexis
author_facet de Colnet, Alexis
author_sort de Colnet, Alexis
collection PubMed
description Two major considerations when encoding pseudo-Boolean (PB) constraints into SAT are the size of the encoding and its propagation strength, that is, the guarantee that it has a good behaviour under unit propagation. Several encodings with propagation strength guarantees rely upon prior compilation of the constraints into DNNF (decomposable negation normal form), BDD (binary decision diagram), or some other sub-variants. However it has been shown that there exist PB-constraints whose ordered BDD (OBDD) representations, and thus the inferred CNF encodings, all have exponential size. Since DNNFs are more succinct than OBDDs, preferring encodings via DNNF to avoid size explosion seems a legitimate choice. Yet in this paper, we prove the existence of PB-constraints whose DNNFs all require exponential size.
format Online
Article
Text
id pubmed-7326562
institution National Center for Biotechnology Information
language English
publishDate 2020
record_format MEDLINE/PubMed
spelling pubmed-73265622020-07-01 A Lower Bound on DNNF Encodings of Pseudo-Boolean Constraints de Colnet, Alexis Theory and Applications of Satisfiability Testing – SAT 2020 Article Two major considerations when encoding pseudo-Boolean (PB) constraints into SAT are the size of the encoding and its propagation strength, that is, the guarantee that it has a good behaviour under unit propagation. Several encodings with propagation strength guarantees rely upon prior compilation of the constraints into DNNF (decomposable negation normal form), BDD (binary decision diagram), or some other sub-variants. However it has been shown that there exist PB-constraints whose ordered BDD (OBDD) representations, and thus the inferred CNF encodings, all have exponential size. Since DNNFs are more succinct than OBDDs, preferring encodings via DNNF to avoid size explosion seems a legitimate choice. Yet in this paper, we prove the existence of PB-constraints whose DNNFs all require exponential size. 2020-06-26 /pmc/articles/PMC7326562/ http://dx.doi.org/10.1007/978-3-030-51825-7_22 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
de Colnet, Alexis
A Lower Bound on DNNF Encodings of Pseudo-Boolean Constraints
title A Lower Bound on DNNF Encodings of Pseudo-Boolean Constraints
title_full A Lower Bound on DNNF Encodings of Pseudo-Boolean Constraints
title_fullStr A Lower Bound on DNNF Encodings of Pseudo-Boolean Constraints
title_full_unstemmed A Lower Bound on DNNF Encodings of Pseudo-Boolean Constraints
title_short A Lower Bound on DNNF Encodings of Pseudo-Boolean Constraints
title_sort lower bound on dnnf encodings of pseudo-boolean constraints
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326562/
http://dx.doi.org/10.1007/978-3-030-51825-7_22
work_keys_str_mv AT decolnetalexis alowerboundondnnfencodingsofpseudobooleanconstraints
AT decolnetalexis lowerboundondnnfencodingsofpseudobooleanconstraints