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  • Titel: Complete Axiomatization for the Bisimilarity Distance on Markov Chains
  • Beteiligte: Bacci, Giorgio [Verfasser:in]; Bacci, Giovanni [Verfasser:in]; G. Larsen, Kim [Verfasser:in]; Mardare, Radu [Verfasser:in]
  • Erschienen: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2016
  • Sprache: Englisch
  • DOI: https://doi.org/10.4230/LIPIcs.CONCUR.2016.21
  • Schlagwörter: Axiomatization ; Markov chains ; Behavioral distances
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  • Beschreibung: In this paper we propose a complete axiomatization of the bisimilarity distance of Desharnais et al. for the class of finite labelled Markov chains. Our axiomatization is given in the style of a quantitative extension of equational logic recently proposed by Mardare, Panangaden, and Plotkin (LICS'16) that uses equality relations t =_e s indexed by rationals, expressing that "t is approximately equal to s up to an error e". Notably, our quantitative deductive system extends in a natural way the equational system for probabilistic bisimilarity given by Stark and Smolka by introducing an axiom for dealing with the Kantorovich distance between probability distributions.
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