DOI: 10.1007/978-3-540-74407-8_28
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Bisimulation and Logical Preservation for Continuous-Time Markov Decision Processes

Abstract: Abstract. This paper introduces strong bisimulation for continuous-time Markov decision processes (CTMDPs), a stochastic model which allows for a nondeterministic choice between exponential distributions, and shows that bisimulation preserves the validity of CSL. To that end, we interpret the semantics of CSL-a stochastic variant of CTL for continuous-time Markov chains-on CTMDPs and show its measure-theoretic soundness. The main challenge faced in this paper is the proof of logical preservation that is substa… Show more

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Cited by 26 publications
(16 citation statements)
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“…The reachability analysis is the key ingredient to enable approximate model checking of CTMDPs with respect to logics like CSL [10]. Note however, that for CSL, it is necessary to consider time-interval (instead of timebounded) reachability.…”
Section: Introductionmentioning
confidence: 99%
“…The reachability analysis is the key ingredient to enable approximate model checking of CTMDPs with respect to logics like CSL [10]. Note however, that for CSL, it is necessary to consider time-interval (instead of timebounded) reachability.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, as for other stochastic models, bisimulation relations have been proposed for CTMDPs. In [27], strong bisimulation was shown to be sound with respect to the continuous-time stochastic logic [2] (CSL). This result guarantees that one can first reduce a CTMDP up to bisimulation equivalence before analysing it.…”
Section: Introductionmentioning
confidence: 99%
“…This result guarantees that one can first reduce a CTMDP up to bisimulation equivalence before analysing it. On the other hand, as indicated in [27], strong bisimulation is not complete with respect to CSL, i.e., logically equivalent states might be not bisimilar.…”
Section: Introductionmentioning
confidence: 99%
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