This paper studies the synthesis problem for PCTL in PMDPs: Given a specification Φ in PCTL, we synthesise the parameter valuations under which Φ is true.
This paper studies the synthesis problem for PCTL in PMDPs: Given a specification. Φ in PCTL, we synthesise the parameter valuations under which Φ is true.
Synthesis for PCTL in Parametric Markov Decision Processes
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Apr 25, 2015 · In parametric Markov decision processes (PMDPs), transition probabilities are not fixed, but are given as functions over a set of parameters ...
Abstract-Markov decision processes (MDPs) are often used for modelling distributed systems with probabilistic failure or randomisation. We consider the problem ...
In parametric Markov decision processes (PMDPs), transition probabilities are not fixed, but are given as functions over a set of parameters.
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Ernst Moritz Hahn, Tingting Han, Lijun Zhang: Synthesis for PCTL in Parametric Markov Decision Processes. NASA Formal Methods 2011: 146-161.
Parametric Markov chains: PCTL complexity and fraction-free ...
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A complexity-theoretic discussion of the model-checking problem for parametric Markov chains and probabilistic computation tree logic (PCTL) formulas.
My thesis [1] covers various aspects of parameter synthesis in Markov models. It also covers aspects of structural synthesis via sketching.
Get details about the chapter of Synthesis for PCTL in Parametric Markov Decision Processes from book NASA Formal Methods: Third International Symposium, ...