Late Weak Bisimulation for Markov Automata

Christian Eisentraut; Jens Chr. Godskesen; Holger Hermanns; Lei Song; Lijun Zhang

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arXiv · 1202.4116

Late Weak Bisimulation for Markov Automata

Christian Eisentraut·Jens Chr. Godskesen·Holger Hermanns·Lei Song·Lijun Zhang

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Abstract

Weak bisimilarity is a distribution-based equivalence notion for Markov automata. It has gained some popularity as the coarsest reasonable behavioural equivalence on Markov automata. This paper studies a strictly coarser notion: Late weak bisimilarity enjoys valuable properties if restricting to important subclasses of schedulers: Trace distribution equivalence is implied for partial information schedulers, and compositionality is preserved by distributed schedulers. The intersection of the two scheduler classes thus spans a coarser and still reasonable compositional theory of Markov automata.

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BibTeX RIS

Christian Eisentraut, Jens Chr. Godskesen, Holger Hermanns, Lei Song, Lijun Zhang. 2012-02-18. Late Weak Bisimulation for Markov Automata. https://arxiv.org/abs/1202.4116

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