A comprehensive introduction to the foundations of model checking, a fully automated
technique for finding flaws in hardware and software; with extensive examples and both …

Continuous-time Markov chains (CTMCs) have been widely used to determine system
performance and dependability characteristics. Their analysis most often concerns the …

Smart homes offer great convenience for people living alone and assistance for physically
impaired inhabitants. Robust behavioural analysis technology is one of the keys to …

Because they incorporate both time-and event-driven dynamics, stochastic hybrid systems
(SHS) have become ubiquitous in a variety of fields, from mathematical finance to biological …

The major challenge in mobile agent path planning, within an uncertain environment, is
effectively determining an optimal control model to discover the target location as quickly as …

This paper presents various semantics in the branching-time spectrum of discrete-time and
continuous-time Markov chains (DTMCs and CTMCs). Strong and weak bisimulation …

A stochastic timed automaton is a purely stochastic process defined on a timed automaton,
in which both delays and discrete choices are made randomly. We study the almost-sure …

We introduce a new notion of bisimulation, called event bisimulation on labelled Markov
processes (LMPs) and compare it with the, now standard, notion of probabilistic …

Collecting information previously scattered throughout the vast literature, including the
author's own research, Stochastic Relations: Foundations for Markov Transition Systems …

Alea jacta est. With the printing of this thesis, almost five years of research end. This was a
period of hard work, of astonishing elegance and beauty present in concurrency theory, with …