About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Preprint article ยท Journal article

Bisimulations meet PCTL equivalences for probabilistic automata

From

Max Planck Institute1

Department of Applied Mathematics and Computer Science, Technical University of Denmark2

Language-Based Technology, Department of Applied Mathematics and Computer Science, Technical University of Denmark3

IT University of Copenhagen4

Probabilistic automata (PAs) have been successfully applied in formal verification of concurrent and stochastic systems. Efficient model checking algorithms have been studied, where the most often used logics for expressing properties are based on probabilistic computation tree logic (PCTL) and its extension PCTL*.

Various behavioral equivalences are proposed, as a powerful tool for abstraction and compositional minimization for PAs. Unfortunately, the equivalences are well-known to be sound, but not complete with respect to the logical equivalences induced by PCTL or PCTL*. The desire of a both sound and complete behavioral equivalence has been pointed out by Segala in [34], but remains open throughout the years.

In this paper we introduce novel notions of strong bisimulation relations, which characterize PCTL and PCTL* exactly. We extend weak bisimulations that characterize PCTL and PCTL* without next operator, respectively. Further, we also extend the framework to simulation preorders. Thus, our paper bridges the gap between logical and behavioral equivalences and preorders in this setting.

Language: English
Publisher: Logical Methods in Computer Science e.V.
Year: 2013
ISSN: 18605974
Types: Preprint article and Journal article
DOI: 10.2168/LMCS-9(2:7)2013
ORCIDs: Nielson, Flemming

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis