,
Florian Funke
,
Simon Jantsch
,
Toghrul Karimov
,
Engel Lefaucheux
,
Joël Ouaknine
,
David Purser
,
Markus A. Whiteland
,
James Worrell
Creative Commons Attribution 4.0 International license
We consider the model-checking problem for parametric probabilistic dynamical systems, formalised as Markov chains with parametric transition functions, analysed under the distribution-transformer semantics (in which a Markov chain induces a sequence of distributions over states). We examine the problem of synthesising the set of parameter valuations of a parametric Markov chain such that the orbits of induced state distributions satisfy a prefix-independent ω-regular property. Our main result establishes that in all non-degenerate instances, the feasible set of parameters is (up to a null set) semialgebraic, and can moreover be computed (in polynomial time assuming that the ambient dimension, corresponding to the number of states of the Markov chain, is fixed).
@InProceedings{baier_et_al:LIPIcs.CONCUR.2022.10,
author = {Baier, Christel and Funke, Florian and Jantsch, Simon and Karimov, Toghrul and Lefaucheux, Engel and Ouaknine, Jo\"{e}l and Purser, David and Whiteland, Markus A. and Worrell, James},
title = {{Parameter Synthesis for Parametric Probabilistic Dynamical Systems and Prefix-Independent Specifications}},
booktitle = {33rd International Conference on Concurrency Theory (CONCUR 2022)},
pages = {10:1--10:16},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-246-4},
ISSN = {1868-8969},
year = {2022},
volume = {243},
editor = {Klin, Bartek and Lasota, S{\l}awomir and Muscholl, Anca},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CONCUR.2022.10},
URN = {urn:nbn:de:0030-drops-170732},
doi = {10.4230/LIPIcs.CONCUR.2022.10},
annote = {Keywords: Model checking, parametric Markov chains, distribution transformer semantics}
}