Semiconductor production has characteristics of reentry, uncertainty, and high level of
equipment integration, which are different with general machining processes. It involves …

This paper presents a retrospective view on probabilistic model checking. We focus on
Markov decision processes (MDPs, for short). We survey the basic ingredients of MDP …

Probabilistic automata (PA) combine probability and nondeterminism. They can be given
different semantics, like strong bisimilarity, convex bisimilarity, or (more recently) distribution …

This paper studies trace-based equivalences for systems combining nondeterministic and
probabilistic choices. We show how trace semantics for such processes can be recovered by …

Bisimulation metrics provide a robust and accurate approach to study the behavior of
nondeterministic probabilistic processes. In this paper, we propose a logical characterization …

For the model of probabilistic labelled transition systems that allow for the co-existence of
nondeterminism and probabilities, we present two notions of bisimulation metrics: one is …

Process algebra is one of the most suitable formal methods to model smart IoT systems for
smart cities. Each IoT in the systems can be modeled as a process in algebra. In addition …

arXiv:2005.01670v1 [cs.LO] 4 May 2020 Page 1 Presenting convex sets of probability
distributions by convex semilattices and unique bases Filippo Bonchi University of Pisa, Italy …

This work studies computation tree logic (CTL) model checking for finite-state Markov
decision processes (MDPs) over the space of their distributions. Instead of investigating …

The formal methods approach to develop reliable and efficient safety-or performance-critical
systems is to construct mathematically precise models of such systems on which properties …