BRÁZDIL, Tomáš, Stefan KIEFER and Antonín KUČERA. Efficient Analysis of Probabilistic Programs with an Unbounded Counter. Journal of the ACM. New York, NY, USA: ACM, 2014, vol. 61, No 6, p. 1-35. ISSN 0004-5411. Available from: https://dx.doi.org/10.1145/2629599.
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Basic information
Original name Efficient Analysis of Probabilistic Programs with an Unbounded Counter
Authors BRÁZDIL, Tomáš (203 Czech Republic, guarantor, belonging to the institution), Stefan KIEFER (276 Germany) and Antonín KUČERA (203 Czech Republic, belonging to the institution).
Edition Journal of the ACM, New York, NY, USA, ACM, 2014, 0004-5411.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 1.394
RIV identification code RIV/00216224:14330/14:00074284
Organization unit Faculty of Informatics
Doi http://dx.doi.org/10.1145/2629599
UT WoS 000347051200008
Keywords in English Markov chains; model-checking; one-counter automata
Tags formela-journal
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 27/4/2015 04:52.
Abstract
We show that a subclass of infinite-state probabilistic programs that can be modeled by probabilistic one-counter automata (pOC) admits an efficient quantitative analysis. We start by establishing a powerful link between pOC and martingale theory, which leads to fundamental observations about quantitative properties of runs in pOC. In particular, we provide a “divergence gap theorem”, which bounds a positive non-termination probability in pOC away from zero. Using these observations, we show that the expected termination time can be approximated up to an arbitrarily small relative error in polynomial time, and the same holds for the probability of all runs that satisfy a given omega-regular property encoded by a deterministic Rabin automaton.
Links
GBP202/12/G061, research and development projectName: Centrum excelence - Institut teoretické informatiky (CE-ITI) (Acronym: CE-ITI)
Investor: Czech Science Foundation
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