Quantitative approximation of the probability distribution of a Markov process by formal abstractions
The goal of this work is to formally abstract a Markov process evolving in discrete time over a general state space as a finite-state Markov chain, with the objective of precisely approximating its state probability distribution in time, which allows for its approximate, faster computation by that o...
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IfCoLog
2015
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