Abstract
In this paper, we consider the model-checking problem of continuous-time Markov chains (CTMCs) with respect to conditional logic. To the end, we extend Continuous Stochastic Logic introduced in Aziz et al. (2000) [1] to Conditional Continuous Stochastic Logic (CCSL) by introducing a conditional probabilistic operator. CCSL allows us to express a richer class of properties for CTMCs. Based on a parameterized product obtained from the CTMC and an automaton extracted from a given CCSL formula, we propose an approximate model checking algorithm and analyse its complexity.
| Original language | English |
|---|---|
| Journal | Information Processing Letters |
| Volume | 113 |
| Issue number | 1-2 |
| Pages (from-to) | 44-50 |
| ISSN | 0020-0190 |
| DOIs | |
| Publication status | Published - 2013 |
Keywords
- Formal methods
- Probabilistic systems
- Continuous-time Markov chains
- Continuous stochastic logic
- Conditional logic
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