Rooted branching bisimulation as a congruence for probabilistic transition systems

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Ponencia presentada en el 13 International Workshop on Quantitative Aspects of Programming Languages and Systems. London, United Kingdom, April 11-12, 2015.

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Detalles Bibliográficos
Autores principales:	Lee, Matías David, de Vink, Erik P.
Formato:	conferenceObject
Lenguaje:	Inglés
Publicado:	2022
Materias:	Branching bisimulations Probabilistic transition systems Rules formats
Acceso en línea:	http://hdl.handle.net/11086/22149
Aporte de:	Repositorio Digital Universitario (UNC) de Universidad Nacional de Córdoba

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spelling	I10-R141-11086-221492023-09-19T11:55:41Z Rooted branching bisimulation as a congruence for probabilistic transition systems Lee, Matías David de Vink, Erik P. Branching bisimulations Probabilistic transition systems Rules formats Ponencia presentada en el 13 International Workshop on Quantitative Aspects of Programming Languages and Systems. London, United Kingdom, April 11-12, 2015. Fil: Lee, Matías David. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Fil: de Vink, Erik P. Eindhoven University of Technology; The Netherlands. Fil: de Vink, Erik P. Centrum Wiskunde & Informatica; The Netherlands. We propose a probabilistic transition system specification format, referred to as probabilistic RBB safe, for which rooted branching bisimulation is a congruence. The congruence theorem is based on the approach of Fokkink for the qualitative case. For this to work, the theory of transition system specifications in the setting of labeled transition systems needs to be extended to deal with probability distributions, both syntactically and semantically. We provide a scheduler-free characterization of probabilistic branching bisimulation as adapted from work of Andova et al. for the alternating model. Counter examples are given to justify the various conditions required by the format. Fil: Lee, Matías David. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Fil: de Vink, Erik P. Eindhoven University of Technology; The Netherlands. Fil: de Vink, Erik P. Centrum Wiskunde & Informatica; The Netherlands. Ciencias de la Computación 2022-01-06T14:27:54Z 2022-01-06T14:27:54Z 2015 conferenceObject http://hdl.handle.net/11086/22149 eng Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Electrónico y/o Digital ISSN: 2075-2180
institution	Universidad Nacional de Córdoba
institution_str	I-10
repository_str	R-141
collection	Repositorio Digital Universitario (UNC)
language	Inglés
topic	Branching bisimulations Probabilistic transition systems Rules formats
spellingShingle	Branching bisimulations Probabilistic transition systems Rules formats Lee, Matías David de Vink, Erik P. Rooted branching bisimulation as a congruence for probabilistic transition systems
topic_facet	Branching bisimulations Probabilistic transition systems Rules formats
description	Ponencia presentada en el 13 International Workshop on Quantitative Aspects of Programming Languages and Systems. London, United Kingdom, April 11-12, 2015.
format	conferenceObject
author	Lee, Matías David de Vink, Erik P.
author_facet	Lee, Matías David de Vink, Erik P.
author_sort	Lee, Matías David
title	Rooted branching bisimulation as a congruence for probabilistic transition systems
title_short	Rooted branching bisimulation as a congruence for probabilistic transition systems
title_full	Rooted branching bisimulation as a congruence for probabilistic transition systems
title_fullStr	Rooted branching bisimulation as a congruence for probabilistic transition systems
title_full_unstemmed	Rooted branching bisimulation as a congruence for probabilistic transition systems
title_sort	rooted branching bisimulation as a congruence for probabilistic transition systems
publishDate	2022
url	http://hdl.handle.net/11086/22149
work_keys_str_mv	AT leematiasdavid rootedbranchingbisimulationasacongruenceforprobabilistictransitionsystems AT devinkerikp rootedbranchingbisimulationasacongruenceforprobabilistictransitionsystems
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Rooted branching bisimulation as a congruence for probabilistic transition systems

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