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Conference Papers Year : 2016

Up-To Techniques for Generalized Bisimulation Metrics


Bisimulation metrics allow us to compute distances between the behaviors of probabilistic systems. In this paper we present enhancements of the proof method based on bisimulation metrics, by extending the theory of up-to techniques to (pre)metrics on discrete probabilistic concurrent processes. Up-to techniques have proved to be a powerful proof method for showing that two systems are bisimilar, since they make it possible to build (and thereby check) smaller relations in bisimulation proofs. We define soundness conditions for up-to techniques on metrics, and study compatibility properties that allow us to safely compose up-to techniques with each other. As an example, we derive the soundness of the up-to-bisimilarity-metric-and-context technique. The study is carried out for a generalized version of the bisimulation metrics, in which the Kantorovich lifting is parametrized with respect to a distance function. The standard bisimulation metrics, as well as metrics aimed at capturing multiplicative properties such as differential privacy, are specific instances of this general definition.
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Dates and versions

hal-01335234 , version 1 (03-07-2016)





Konstantinos Chatzikokolakis, Catuscia Palamidessi, Valeria Vignudelli. Up-To Techniques for Generalized Bisimulation Metrics. 27th International Conference on Concurrency Theory (CONCUR 2016), Aug 2016, Québec City, Canada. pp.35:1--35:14, ⟨10.4230/LIPIcs.CONCUR.2016.35⟩. ⟨hal-01335234⟩
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