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Automatic Decomposition of Petri Nets into Automata Networks – A Synthetic Account
This article revisits the problem of decomposing a Petri net into a network of automata, a problem that has been around since the early 70s. We reformulate this problem as the transformation of an ordinary, one-safe Petri net into a flat, unit-safe NUPN (Nested-Unit Petri Net) and define a quality c...
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/PMC7324220/ http://dx.doi.org/10.1007/978-3-030-51831-8_1 |
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author | Bouvier, Pierre Garavel, Hubert Ponce-de-León, Hernán |
author_facet | Bouvier, Pierre Garavel, Hubert Ponce-de-León, Hernán |
author_sort | Bouvier, Pierre |
collection | PubMed |
description | This article revisits the problem of decomposing a Petri net into a network of automata, a problem that has been around since the early 70s. We reformulate this problem as the transformation of an ordinary, one-safe Petri net into a flat, unit-safe NUPN (Nested-Unit Petri Net) and define a quality criterion based on the number of bits required for the structural encoding of markings. We propose various transformation methods, all of which we implemented in a tool chain that combines NUPN tools with third-party software, such as SAT solvers, SMT solvers, and tools for graph colouring and finding maximal cliques. We perform an extensive evaluation of these methods on a collection of more than 12,000 nets from diverse sources, including nets whose marking graph is too large for being explored exhaustively. |
format | Online Article Text |
id | pubmed-7324220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73242202020-06-30 Automatic Decomposition of Petri Nets into Automata Networks – A Synthetic Account Bouvier, Pierre Garavel, Hubert Ponce-de-León, Hernán Application and Theory of Petri Nets and Concurrency Article This article revisits the problem of decomposing a Petri net into a network of automata, a problem that has been around since the early 70s. We reformulate this problem as the transformation of an ordinary, one-safe Petri net into a flat, unit-safe NUPN (Nested-Unit Petri Net) and define a quality criterion based on the number of bits required for the structural encoding of markings. We propose various transformation methods, all of which we implemented in a tool chain that combines NUPN tools with third-party software, such as SAT solvers, SMT solvers, and tools for graph colouring and finding maximal cliques. We perform an extensive evaluation of these methods on a collection of more than 12,000 nets from diverse sources, including nets whose marking graph is too large for being explored exhaustively. 2020-06-02 /pmc/articles/PMC7324220/ http://dx.doi.org/10.1007/978-3-030-51831-8_1 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 Bouvier, Pierre Garavel, Hubert Ponce-de-León, Hernán Automatic Decomposition of Petri Nets into Automata Networks – A Synthetic Account |
title | Automatic Decomposition of Petri Nets into Automata Networks – A Synthetic Account |
title_full | Automatic Decomposition of Petri Nets into Automata Networks – A Synthetic Account |
title_fullStr | Automatic Decomposition of Petri Nets into Automata Networks – A Synthetic Account |
title_full_unstemmed | Automatic Decomposition of Petri Nets into Automata Networks – A Synthetic Account |
title_short | Automatic Decomposition of Petri Nets into Automata Networks – A Synthetic Account |
title_sort | automatic decomposition of petri nets into automata networks – a synthetic account |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324220/ http://dx.doi.org/10.1007/978-3-030-51831-8_1 |
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