Complete Axiomatization for the Bisimilarity Distance on Markov Chains

نویسندگان

  • Giorgio Bacci
  • Giovanni Bacci
  • Kim G. Larsen
  • Radu Mardare
چکیده

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 ≡ε s indexed by rationals, expressing that “t is approximately equal to s up to an error ε”. 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. 1998 ACM Subject Classification F.3.2 Algebraic Approaches to Semantics.

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تاریخ انتشار 2016