A linear process algebraic format for probabilistic systems with data


Katoen, Joost-Pieter and Pol, Jaco van de and Stoelinga, Mariëlle and Timmer, Mark (2010) A linear process algebraic format for probabilistic systems with data. In: Tenth International Conference on Application of Concurrency to System Design, ACSD 2010, 21-25 June 2010, Braga, Portugal (pp. pp. 213-222).

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Abstract: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.
Item Type:Conference or Workshop Item
Additional information:See also the extended version, CTIT report TR-CTIT-10-11, http://eprints.eemcs.utwente.nl/17778/
Copyright:© 2010 IEEE
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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Link to this item:http://purl.utwente.nl/publications/72425
Official URL:https://doi.org/10.1109/ACSD.2010.18
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