FOREJT, Vojtěch and Jan KRČÁL. On Frequency LTL in Probabilistic Systems. In CONCUR 2015. Madrid, Spain: Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik. p. 184-197. ISBN 978-3-939897-91-0. doi:10.4230/LIPIcs.CONCUR.2015.184. 2015.
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Basic information
Original name On Frequency LTL in Probabilistic Systems
Authors FOREJT, Vojtěch (203 Czech Republic, belonging to the institution) and Jan KRČÁL (203 Czech Republic).
Edition Madrid, Spain, CONCUR 2015, p. 184-197, 14 pp. 2015.
Publisher Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
RIV identification code RIV/00216224:14330/15:00081289
Organization unit Faculty of Informatics
ISBN 978-3-939897-91-0
ISSN 1868-8969
Doi http://dx.doi.org/10.4230/LIPIcs.CONCUR.2015.184
Keywords in English markov chains; markov decision processes; ltl; controller synthesis
Tags core_A, firank_A, formela-conference
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 28/4/2016 15:33.
Abstract
We study frequency linear-time temporal logic (fLTL) which extends the linear-time temporal logic (LTL) with a path operator G^p expressing that on a path, certain formula holds with at least a given frequency p, thus relaxing the semantics of the usual G operator of LTL. Such logic is particularly useful in probabilistic systems, where some undesirable events such as random failures may occur and are acceptable if they are rare enough. Frequency-related extensions of LTL have been previously studied by several authors, where mostly the logic is equipped with an extended "until" and "globally" operator, leading to undecidability of most interesting problems. For the variant we study, we are able to establish fundamental decidability results. We show that for Markov chains, the problem of computing the probability with which a given fLTL formula holds has the same complexity as the analogous problem for LTL. We also show that for Markov decision processes the problem becomes more delicate, but when restricting the frequency bound p to be 1 and negations not to be outside any G^p operator, we can compute the maximum probability of satisfying the fLTL formula. This can be again performed with the same time complexity as for the ordinary LTL formulas.
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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