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Theoretical Computer Science 412, 34 (2011) 4373-4404
Constraint Markov Chains
Benoit Caillaud 1, Benoît Delahaye 1, Kim G. Larsen 2, Axel Legay 1, Mikkel L. Pedersen 2, Andrzej Wasowski 3
(15/05/2011)

Notions of specification, implementation, satisfaction, and refinement, together with operators supporting stepwise design, constitute a specification theory. We construct such a theory for Markov Chains (MCs) employing a new abstraction of a Constraint MC. Constraint MCs permit rich constraints on probability distributions and thus generalize prior abstractions such as Interval MCs. Linear (polynomial) constraints suffice for closure under conjunction (respectively parallel composition). This is the first specification theory for MCs with such closure properties. We discuss its relation to simpler operators for known languages such as probabilistic process algebra. Despite the generality, all operators and relations are computable.
1 :  S4 (INRIA - IRISA)
CNRS : UMR6074 – INRIA – Institut National des Sciences Appliquées (INSA) - Rennes – Université de Rennes 1
2 :  University of Aalborg
University of Aalborg
3 :  IT University of Copenhagen (IT)
IT University of Copenhagen
Informatique/Autre
Specification theory – Markov Chains – Compositional reasoning – Abstraction – Process algebra