Process algebras for systems diagnosis. (Q1852861)

In this paper we propose a new characterization of model-based diagnosis based on process algebras, a framework which is widely used in several areas of computer science. We show that process algebras provide a powerful modelling language which allows us to capture, in an uniform way, different types of models of physical systems, including models of time-varying and dynamic behavior. Then we provide a characterization of diagnosis which is equivalent to the ``classical'' abductive one. This suggests new interesting opportunities for research on relations between model-based reasoning and process algebras.