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A Game for Linear-time–Branching-time Spectroscopy
We introduce a generalization of the bisimulation game that can be employed to find all relevant distinguishing Hennessy–Milner logic formulas for two compared finite-state processes. By measuring the use of expressive powers, we adapt the formula generation to just yield formulas belonging to the c...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979226/ http://dx.doi.org/10.1007/978-3-030-72016-2_1 |
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author | Bisping, Benjamin Nestmann, Uwe |
author_facet | Bisping, Benjamin Nestmann, Uwe |
author_sort | Bisping, Benjamin |
collection | PubMed |
description | We introduce a generalization of the bisimulation game that can be employed to find all relevant distinguishing Hennessy–Milner logic formulas for two compared finite-state processes. By measuring the use of expressive powers, we adapt the formula generation to just yield formulas belonging to the coarsest distinguishing behavioral preorders/equivalences from the linear-time–branching-time spectrum. The induced algorithm can determine the best fit of (in)equivalences for a pair of processes. |
format | Online Article Text |
id | pubmed-7979226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-79792262021-03-23 A Game for Linear-time–Branching-time Spectroscopy Bisping, Benjamin Nestmann, Uwe Tools and Algorithms for the Construction and Analysis of Systems Article We introduce a generalization of the bisimulation game that can be employed to find all relevant distinguishing Hennessy–Milner logic formulas for two compared finite-state processes. By measuring the use of expressive powers, we adapt the formula generation to just yield formulas belonging to the coarsest distinguishing behavioral preorders/equivalences from the linear-time–branching-time spectrum. The induced algorithm can determine the best fit of (in)equivalences for a pair of processes. 2021-03-01 /pmc/articles/PMC7979226/ http://dx.doi.org/10.1007/978-3-030-72016-2_1 Text en © The Author(s) 2021 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
spellingShingle | Article Bisping, Benjamin Nestmann, Uwe A Game for Linear-time–Branching-time Spectroscopy |
title | A Game for Linear-time–Branching-time Spectroscopy |
title_full | A Game for Linear-time–Branching-time Spectroscopy |
title_fullStr | A Game for Linear-time–Branching-time Spectroscopy |
title_full_unstemmed | A Game for Linear-time–Branching-time Spectroscopy |
title_short | A Game for Linear-time–Branching-time Spectroscopy |
title_sort | game for linear-time–branching-time spectroscopy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979226/ http://dx.doi.org/10.1007/978-3-030-72016-2_1 |
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