Publication details

Bisimilarity of Probabilistic Pushdown Automata

Authors

FOREJT Vojtěch JANČAR Petr KIEFER Stefan WORRELL James

Year of publication 2012
Type Article in Proceedings
Conference FSTTCS
MU Faculty or unit

Faculty of Informatics

Citation FOREJT, Vojtěch, Petr JANČAR, Stefan KIEFER and James WORRELL. Bisimilarity of Probabilistic Pushdown Automata. Online. In Deepak D'Souza and Telikepalli Kavitha and Jaikumar Radhakrishnan. FSTTCS. Dagstuhl: Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2012, p. 448-460. ISBN 978-3-939897-47-7.
web http://drops.dagstuhl.de/opus/volltexte/2012/3880/pdf/41.pdf
Field Informatics
Keywords Bisimulation; infinite state systems; stochastic system
Description We study the bisimilarity problem for probabilistic pushdown automata (pPDA) and subclasses thereof. Our definition of pPDA allows both probabilistic and non-deterministic branching, generalising the classical notion of pushdown automata (without epsilon-transitions). Our first contribution is a general construction that reduces checking bisimilarity of probabilistic transition systems to checking bisimilarity of non-deterministic transition systems. This construction directly yields decidability of bisimilarity for pPDA, as well as an elementary upper bound for the bisimilarity problem on the subclass of probabilistic basic process algebras, i.e., single-state pPDA. We further show that, with careful analysis, the general reduction can be used to prove an EXPTIME upper bound for bisimilarity of probabilistic visibly pushdown automata. Here we also provide a matching lower bound, establishing EXPTIME-completeness. Finally we prove that deciding bisimilarity of probabilistic one-counter automata, another subclass of pPDA, is PSPACE-complete. Here we use a more specialised argument to obtain optimal complexity bounds.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.

More info

By clicking “Accept Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. Cookie Settings

Necessary Only Accept Cookies