Confluence reduction for probabilistic systems

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Abstract

This paper presents a novel technique for state space reduction of probabilistic specifications, based on a newly developed notion of confluence for probabilistic automata. We prove that this reduction preserves branching probabilistic bisimulation and can be applied on-the-fly. To support the technique, we introduce a method for detecting confluent transitions in the context of a probabilistic process algebra with data, facilitated by an earlier defined linear format. A case study demonstrates that significant reductions can be obtained. © 2011 Springer-Verlag.

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Timmer, M., Stoelinga, M., & Van De Pol, J. (2011). Confluence reduction for probabilistic systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6605 LNCS, pp. 311–325). Springer Verlag. https://doi.org/10.1007/978-3-642-19835-9_29

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