This paper reports on and discusses three notions of approximation for Labelled Markov Processes that have been developed last year. The three schemes are improvements over former...
Probability features increasingly often in software and hardware systems: it is used in distributed co-ordination and routing problems, to model fault-tolerance and performance, a...
Model checking and other finite-state analysis techniques have been very successful when used with hardware systems and less successful with software systems. It is especially di...
This paper explores the computational capacity of a novel local computational model that expands the conventional analogical and logical dynamic neural models, based on the charge ...
Probabilistic timed automata, a variant of timed automata extended with discrete probability distributions, is a specification formalism suitable for describing both nondeterminis...
Marta Z. Kwiatkowska, Gethin Norman, David Parker,...