When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
Process modelling systems are complex and difficult to compare. A key attribute of any process modelling formalism or tool is time which involves how it handles and represents tem...
We investigate the construction of linear operators representing the semantics of probabilistic programming languages expressed via probabilistic transition systems. Finite transi...
This paper introduces process spaces, a unified theory of interacting systems. The trait, abstract executions, leads to a simple and general set formalism. For concurrent systems ...
We develop a general testing scenario for probabilistic processes, giving rise to two theories: probabilistic may testing and probabilistic must testing. These are applied to a si...
Yuxin Deng, Rob J. van Glabbeek, Matthew Hennessy,...