Marta Kwiatkowska , Ulrich Herzog Christoph Meinel , Moshe Vardi ( editors )
نویسندگان
چکیده
ion in Probabilistic Process Algebra Suzana Andova Eindhoven University of Technology In this work we treat the problem of abstraction in fully probabilistic process algebra and its semantics based on branching bisimulation. Since the idea of fairness rules together with abstraction (introduced by the abstraction operator tauI and constant tau meaning an internal action) is central to the verification techniques in process algebra we introduce verification rules in fully probabilistic process algebra that arise rather in a natural way from the one defined in standard process algebra. These rules express the idea that due to a non-zero probability for a system to execute an external action, abstraction from internal step will yield the external step(s) with probability 1 after finitely many repetitions. The new result in our approach is the definition of a probabilistic branching bisimulation that
منابع مشابه
Multi-objective Model Checking of Markov Decision Processes
We study and provide efficient algorithms for multi-objective model checking problems for Markov Decision Processes (MDPs). Given an MDP, M , and given multiple linear-time (ω-regular or LTL) properties φi, and probabilities ri ∈ [0, 1], i = 1, . . . , k, we ask whether there exists a strategy σ for the controller such that, for all i, the probability that a trajectory of M controlled by σ sati...
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*Current address: Dept. of Computer Science, Rice University, P.O. Box 1892, Houston, TX 77251-1892, [email protected]
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