A Probabilistic Logic for Verifying Continuous-time Markov Chains

Author:

Guan Ji,Yu Nengkun

Abstract

AbstractA continuous-time Markov chain (CTMC) execution is a continuous class of probability distributions over states. This paper proposes a probabilistic linear-time temporal logic, namely continuous-time linear logic (CLL), to reason about the probability distribution execution of CTMCs. We define the syntax of CLL on the space of probability distributions. The syntax of CLL includes multiphase timed until formulas, and the semantics of CLL allows time reset to study relatively temporal properties. We derive a corresponding model-checking algorithm for CLL formulas. The correctness of the model-checking algorithm depends on Schanuel’s conjecture, a central open problem in transcendental number theory. Furthermore, we provide a running example of CTMCs to illustrate our method.

Publisher

Springer International Publishing

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Measurement-Based Verification of Quantum Markov Chains;Lecture Notes in Computer Science;2024

2. CTMCs with Imprecisely Timed Observations;Lecture Notes in Computer Science;2024

3. Formal Modelling and Verification of Probabilistic Resource Bounded Agents;Journal of Logic, Language and Information;2023-11-15

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