A Probabilistic Temporal Logic with Frequency Operators and Its Model Checking
Takashi Tomita (Tokyo Institute of Technology), Shigeki Hagihara, (Tokyo Institute of Technology), Naoki Yonezaki (Tokyo Institute of, Technology)

TL;DR
This paper introduces a new probabilistic temporal logic with frequency operators, enabling the expression of quantitative temporal properties in probabilistic systems, and develops model-checking algorithms for its fragments.
Contribution
It proposes PFTL, a novel logic extending CTL* with frequency operators, and provides model-checking algorithms for its CTL-like and LTL-like fragments.
Findings
Developed a model-checking algorithm for the CTL-like fragment of PFTL.
Created an approximate model-checking algorithm for the LTL-like fragment.
Enhanced the ability to specify and verify frequency-based temporal properties in probabilistic models.
Abstract
Probabilistic Computation Tree Logic (PCTL) and Continuous Stochastic Logic (CSL) are often used to describe specifications of probabilistic properties for discrete time and continuous time, respectively. In PCTL and CSL, the possibility of executions satisfying some temporal properties can be quantitatively represented by the probabilistic extension of the path quantifiers in their basic Computation Tree Logic (CTL), however, path formulae of them are expressed via the same operators in CTL. For this reason, both of them cannot represent formulae with quantitative temporal properties, such as those of the form "some properties hold to more than 80% of time points (in a certain bounded interval) on the path." In this paper, we introduce a new temporal operator which expressed the notion of frequency of events, and define probabilistic frequency temporal logic (PFTL) based on CTL\star.…
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Taxonomy
TopicsFormal Methods in Verification · Semantic Web and Ontologies · Model-Driven Software Engineering Techniques
