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Encoding Reversing Petri Nets in Answer Set Programming
Reversing Petri nets (RPNs) have been proposed as a reversible approach to Petri nets, which allows the transitions of a net to be reversed. This work presents an approach towards an implementation of RPNs to support their simulation and analysis. Specifically, we define how to model RPNs in Answer...
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/PMC7342048/ http://dx.doi.org/10.1007/978-3-030-52482-1_17 |
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author | Dimopoulos, Yannis Kouppari, Eleftheria Philippou, Anna Psara, Kyriaki |
author_facet | Dimopoulos, Yannis Kouppari, Eleftheria Philippou, Anna Psara, Kyriaki |
author_sort | Dimopoulos, Yannis |
collection | PubMed |
description | Reversing Petri nets (RPNs) have been proposed as a reversible approach to Petri nets, which allows the transitions of a net to be reversed. This work presents an approach towards an implementation of RPNs to support their simulation and analysis. Specifically, we define how to model RPNs in Answer Set Programming (ASP), a declarative programming framework with competitive solvers. We highlight how the methodology can be used to reason about the behavior of RPN models. |
format | Online Article Text |
id | pubmed-7342048 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73420482020-07-09 Encoding Reversing Petri Nets in Answer Set Programming Dimopoulos, Yannis Kouppari, Eleftheria Philippou, Anna Psara, Kyriaki Reversible Computation Article Reversing Petri nets (RPNs) have been proposed as a reversible approach to Petri nets, which allows the transitions of a net to be reversed. This work presents an approach towards an implementation of RPNs to support their simulation and analysis. Specifically, we define how to model RPNs in Answer Set Programming (ASP), a declarative programming framework with competitive solvers. We highlight how the methodology can be used to reason about the behavior of RPN models. 2020-06-17 /pmc/articles/PMC7342048/ http://dx.doi.org/10.1007/978-3-030-52482-1_17 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 Dimopoulos, Yannis Kouppari, Eleftheria Philippou, Anna Psara, Kyriaki Encoding Reversing Petri Nets in Answer Set Programming |
title | Encoding Reversing Petri Nets in Answer Set Programming |
title_full | Encoding Reversing Petri Nets in Answer Set Programming |
title_fullStr | Encoding Reversing Petri Nets in Answer Set Programming |
title_full_unstemmed | Encoding Reversing Petri Nets in Answer Set Programming |
title_short | Encoding Reversing Petri Nets in Answer Set Programming |
title_sort | encoding reversing petri nets in answer set programming |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342048/ http://dx.doi.org/10.1007/978-3-030-52482-1_17 |
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