Weighted branching systems: Behavioural equivalence, behavioural distance, and their logical characterisations

Mathias Claus Jensen*, Kim Guldstrand Larsen, Radu Mardare

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)

Abstract

In this work, we extend the notion of branching bisimulation to weighted systems. We abstract away from singular transitions and allow for bisimilar systems to match each other using finite paths of similar behaviour and weight. We show that this weighted branching bisimulation is characterised by a weighted temporal logic. Due to the restrictive nature of quantitative behavioural equivalences, we develop a notion of relative distance between weighted processes by relaxing our bisimulation by some factor. Intuitively, we allow for transitions (formula presented) to be matched by finite paths that accumulate a weight within the interval (formula presented), where ε is the factor of relaxation. We extend this relaxation to our logic and show that for a class of formulae, our relaxed logic characterises our relaxed bisimulation. From this notion of relaxed bisimulation, we derive a relative pseudometric and prove robustness results. Lastly, we prove certain topological properties for classes of formulae on the open-ball topology induced by our pseudometric.

Original languageEnglish
Title of host publicationFormal Modeling and Analysis of Timed Systems : FORMATS 2018
EditorsDavid N. Jansen, Pavithra Prabhakar
Number of pages17
PublisherSpringer
Publication date1 Jan 2018
Pages145-161
ISBN (Print)9783030001506
DOIs
Publication statusPublished - 1 Jan 2018
Event16th International Conference on Formal Modeling and Analysis of Timed Systems, FORMATS 2018 - Beijing, China
Duration: 4 Sept 20186 Sept 2018

Conference

Conference16th International Conference on Formal Modeling and Analysis of Timed Systems, FORMATS 2018
Country/TerritoryChina
CityBeijing
Period04/09/201806/09/2018
SeriesLecture Notes in Computer Science
Volume11022 LNCS
ISSN0302-9743

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