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SGGS Decision Procedures
SGGS (Semantically-Guided Goal-Sensitive reasoning) is a conflict-driven first-order theorem-proving method which is refutationally complete and model complete in the limit. These features make it attractive as a basis for decision procedures. In this paper we show that SGGS decides the stratified f...
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/PMC7324225/ http://dx.doi.org/10.1007/978-3-030-51074-9_20 |
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author | Bonacina, Maria Paola Winkler, Sarah |
author_facet | Bonacina, Maria Paola Winkler, Sarah |
author_sort | Bonacina, Maria Paola |
collection | PubMed |
description | SGGS (Semantically-Guided Goal-Sensitive reasoning) is a conflict-driven first-order theorem-proving method which is refutationally complete and model complete in the limit. These features make it attractive as a basis for decision procedures. In this paper we show that SGGS decides the stratified fragment which generalizes EPR, the PVD fragment, and a new fragment that we dub restrained. The new class has the small model property, as the size of SGGS-generated models can be upper-bounded, and is also decided by hyperresolution and ordered resolution. We report on experiments with a termination tool implementing a restrainedness test, and with an SGGS prototype named Koala. |
format | Online Article Text |
id | pubmed-7324225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73242252020-06-30 SGGS Decision Procedures Bonacina, Maria Paola Winkler, Sarah Automated Reasoning Article SGGS (Semantically-Guided Goal-Sensitive reasoning) is a conflict-driven first-order theorem-proving method which is refutationally complete and model complete in the limit. These features make it attractive as a basis for decision procedures. In this paper we show that SGGS decides the stratified fragment which generalizes EPR, the PVD fragment, and a new fragment that we dub restrained. The new class has the small model property, as the size of SGGS-generated models can be upper-bounded, and is also decided by hyperresolution and ordered resolution. We report on experiments with a termination tool implementing a restrainedness test, and with an SGGS prototype named Koala. 2020-05-30 /pmc/articles/PMC7324225/ http://dx.doi.org/10.1007/978-3-030-51074-9_20 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 Bonacina, Maria Paola Winkler, Sarah SGGS Decision Procedures |
title | SGGS Decision Procedures |
title_full | SGGS Decision Procedures |
title_fullStr | SGGS Decision Procedures |
title_full_unstemmed | SGGS Decision Procedures |
title_short | SGGS Decision Procedures |
title_sort | sggs decision procedures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324225/ http://dx.doi.org/10.1007/978-3-030-51074-9_20 |
work_keys_str_mv | AT bonacinamariapaola sggsdecisionprocedures AT winklersarah sggsdecisionprocedures |