A Linear Process-Algebraic Format for Probabilistic Systems with Data
Joost-Pieter Katoen, Jaco van de Pol, Mariëlle I. A. Stoelinga, Mark Timmer · 2010
This paper presents a novel linear process-algebraic format for probabilistic automata. The key ingredient is a symbolic transformation of probabilistic process algebra terms that incorporate data into this linear format while preserving strong probabilistic bisimulation. This generalises similar techniques for traditional process algebras with data, and - more importantly - treats data and data-dependent probabilistic choice in a fully symbolic manner, paving the way to the symbolic analysis of parameterised probabilistic systems.