This paper reviews the model of interactive Markov chains (IMCs, for short), an extension of labelled transition systems with exponentially delayed transitions. We show that IMCs a...
In this work, we present a conceptual framework for deriving executable business process models from high-level, graphical business process models based on the paradigm of Service-...
We study the convergence of Markov Decision Processes made of a large number of objects to optimization problems on ordinary differential equations (ODE). We show that the optimal...
The aim of this work is to obtain explicit conditions (i.e., conditions on the transition rates) for the stochastic comparison of Markov Processes. A general coupling technique is ...
Published results show that various models may be obtained by combining parallel composition with probability and with or without non-determinism. In this paper we treat this probl...