CHODIL, Miroslav and Antonín KUČERA. The Satisfiability Problem for a Quantitative Fragment of PCTL. In Evripidis Bampis and Aris Pagourtzis. Fundamentals of Computation Theory. 23rd International Symposium, FCT 2021. Německo: Springer, 2021, p. 149-161. ISBN 978-3-030-86592-4. Available from: https://dx.doi.org/10.1007/978-3-030-86593-1_10.
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Basic information
Original name The Satisfiability Problem for a Quantitative Fragment of PCTL
Authors CHODIL, Miroslav (703 Slovakia, belonging to the institution) and Antonín KUČERA (203 Czech Republic, guarantor, belonging to the institution).
Edition Německo, Fundamentals of Computation Theory. 23rd International Symposium, FCT 2021, p. 149-161, 13 pp. 2021.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10200 1.2 Computer and information sciences
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/21:00119107
Organization unit Faculty of Informatics
ISBN 978-3-030-86592-4
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-030-86593-1_10
UT WoS 000722594000010
Keywords in English Probabilistic temporal logic; satisfiability
Tags firank_B
Tags International impact, Reviewed
Changed by Changed by: prof. RNDr. Antonín Kučera, Ph.D., učo 2508. Changed: 25/1/2022 12:46.
Abstract
We give a sufficient condition under which every finite-satisfiable formula of a given PCTL fragment has a model with at most doubly exponential number of states (consequently, the finite satisfiability problem for the fragment is in 2-EXPSPACE). The condition is semantic and it is based on enforcing a form of ``progress'' in non-bottom SCCs contributing to the satisfaction of a given PCTL formula. We show that the condition is satisfied by PCTL fragments beyond the reach of existing methods.
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GA21-24711S, research and development projectName: Efektivní analýza a optimalizace pravděpodobnostních systémů a her (Acronym: Efektivní analýza a optimalizace pravděpodobnostní)
Investor: Czech Science Foundation
MUNI/A/1108/2020, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace X. (Acronym: SV-FI MAV X.)
Investor: Masaryk University
MUNI/A/1549/2020, interní kód MUName: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity 21 (Acronym: SKOMU)
Investor: Masaryk University
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