文章基本信息

标题：Bounded Satisfiability for PCTL
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作者：Nathalie Bertrand ; John Fearnley ; Sven Schewe 等
期刊名称：LIPIcs : Leibniz International Proceedings in Informatics
电子版ISSN：1868-8969
出版年度：2012
卷号：16
页码：92-106
DOI：10.4230/LIPIcs.CSL.2012.92
出版社：Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
摘要：While model checking PCTL for Markov chains is decidable in polynomial-time, the decidability of PCTL satisfiability is a long standing open problem. While general satisfiability is an intriguing challenge from a purely theoretical point of view, we argue that general solutions would not be of interest to practitioners: such solutions could be too big to be implementable or even infinite. Inspired by bounded synthesis techniques, we turn to the more applied problem of seeking models of a bounded size: we restrict our search to implementable - and therefore reasonably simple - models. We propose a procedure to decide whether or not a given PCTL formula has an implementable model by reducing it to an SMT problem. We have implemented our techniques and found that they can be applied to the practical problem of sanity checking - a procedure that allows a system designer to check whether their formula has an unexpectedly small model.
关键词：Satisfiability; Temporal Logic; Probabilistic Logic