Markovian process algebras, such as PEPA and stochastic -calculus, bring a powerful compositional approach to the performance modelling of complex systems. However, the models gen...
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
Directed model checking is a well-established technique to tackle the state explosion problem when the aim is to find error states in large systems. In this approach, the state spa...
Abstract—Many applications are concurrent and communicate over a network. The non-determinism in the thread and communication schedules makes it desirable to model check such sys...
— In order to accommodate the constantly growing number of vehicles on the road with which infrastructure provision is failing to cope, new means of optimizing the available road...