Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. The payoff received by the controller can be evaluated in different ways, dep...
The model checking problem for finite-state open systems (module checking) has been extensively studied in the literature, both in the context of environments with perfect and imp...
The growing diffusion of portable devices enables users to benefit from anytime and anywhere impromptu collaboration. Appropriate policy models that take into account the dynamici...
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. Performances of an MDP are evaluated by a payoff function. The controller of ...
— This paper reports on an experiment in network protocol design: we use novel rigorous techniques in the design process of a new protocol, in a close collaboration between syste...
Adam Biltcliffe, Michael Dales, Sam Jansen, Tom Ri...