Scientific Annals of Computer Science (Dec 2022)

Behavioural Pseudometrics for Nondeterministic Probabilistic Systems

  • Wenjie Du,
  • Yuxin Deng,
  • Daniel Gebler

DOI
https://doi.org/10.7561/SACS.2022.2.211
Journal volume & issue
Vol. XXXII, no. 2
pp. 211 – 254

Abstract

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For the model of probabilistic labelled transition systems that allow for the co-existence of nondeterminism and probabilities, we present two notions of bisimulation metrics: one is state-based and the other is distribution-based. We provide a sound and complete modal characterisation for each of them, using real-valued modal logics based on Hennessy-Milner logic. The logic for characterising the state-based metric is much simpler than an earlier logic proposed by Desharnais et al. as it uses only two non-expansive operators rather than the general class of non-expansive operators. For the kernels of the two metrics, which correspond to two notions of bisimilarity, we give a comprehensive comparison with some typical distribution-based bisimilarities in the literature.