Draft:Continuous Stochastic Logic
Specification for Continuous-Time Models
From Wikipedia, the free encyclopedia
Continuous Stochastic Logic (CSL) is a formalism for expressing properties of continuous time Markov chains (CTMCs). It enhances the classical temporal logic frameworks by incorporating quantitative aspects of systems that exhibit continuous-time stochastic behavior. CSL is used primarily in Probabilistic Model Checking (PMC), where it enables automatic verification of properties over CTMCs.[1][2]
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CSL Syntax
A possible syntax of CSL can be defined as follows:[3]
Therein, for some finite set of atomic propositions, is a comparison operator, is an interval of and is a probability threshold. Let indicate that the probability of a path formula being satisfied from a given state satisfies bound , and let indicate the steady-state probability of the same.
Formulas of CSL are interpreted over continuous-time Markov chains. An interpretation structure is a quadruple , where
- is a finite set of states,
- is an initial state,
- is a transition probability function based on specified reaction rates, , such that for all we have , and
- is a labeling function, , assigning atomic propositions to states.
