LIPIcs - Leibniz International Proceedings in Informatics. 28th International Conference on Concurrency Theory (CONCUR 2017)
Doi
Abstract
Probabilistic automata (PA) combine probability and nondeterminism.
They can be given different semantics, like strong bisimilarity,
convex bisimilarity, or (more recently) distribution bisimilarity.
The latter is based on the view of PA as transformers of probability
distributions, also called belief states, and promotes distributions
to first-class citizens.
We give a coalgebraic account of the latter semantics, and explain
the genesis of the belief-state transformer from a PA. To do so, we
make explicit the convex algebraic structure present in PA and
identify belief-state transformers as transition systems with state
space that carries a convex algebra. As a consequence of our abstract
approach, we can give a sound proof technique which we call
bisimulation up-to convex hull