Markov automata constitute a compositional modeling formalism spanning as special cases
the models of discrete and continuous time Markov chains, as well as interactive Markov …

In the context of Markov decision processes running in continuous time, one of the most
intriguing challenges is the efficient approximation of finite horizon reachability objectives. A …

Markov automata are a powerful formalism for modelling systems which exhibit
nondeterminism, probabilistic choices and continuous stochastic timing. We consider the …

Quantitative model checking is concerned with the verification of both quantitative and
qualitative properties over models incorporating quantitative information. Increases in …

Interactive Markov Chains (IMC IMC s) are compositional behaviour models extending both
Continuous Time Markov Chain (CTMC) and Labeled Transition System (LTS). They are …

Markov automata constitute an expressive continuous-time compositional modelling
formalism, featuring stochastic timing and nondeterministic as well as probabilistic …

Markov automata combine continuous time, probabilistic transitions, and nondeterminism in
a single model. They represent an important and powerful way to model a wide range of …

Abstract Generalized Stochastic Petri Nets (GSPNs)[28] are a well-known modelling
formalism to compute dependability and performance of distributed systems. GSPNs are …

Abstract Interactive Markov chains (IMCs) constitute a powerful sto-chastic model that
extends both continuous-time Markov chains and labelled transition systems. IMCs enable a …

Nach der neolithischen Revolution und der industriellen Revolution ist die Welt derzeit mit
einer weiteren konfrontiert: Der digitalen Revolution. Sie erhält ihren Namen durch die …