Late Weak Bisimulation for Markov Automata
Eisentraut, Christian, Jens Chr. Godskesen, Hermanns, Holger, Lei Song, Lijun Zhang · arXiv (Cornell University) · 2012
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.