Equational Axioms for Probabilistic Bisimilarity

  • Authors:
  • Luca Aceto;Zoltán Ésik;Anna Ingólfsdóttir

  • Affiliations:
  • -;-;-

  • Venue:
  • AMAST '02 Proceedings of the 9th International Conference on Algebraic Methodology and Software Technology
  • Year:
  • 2002

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Abstract

This paper gives an equational axiomatization of probabilistic bisimulation equivalence for a class of finite-state agents previously studied by Stark and Smolka ((2000) Proof, Language, and Interaction: Essays in Honour of Robin Milner, pp. 571-595). The axiomatization is obtained by extending the general axioms of iteration theories (or iteration algebras), which characterize, among others, the equational properties of the fixed point operator on (驴-)continuous or monotonic functions, with three axiom schemas that express laws that are specific to probabilistic bisimilarity. Hence probabilistic bisimilarity (over finite-state agents) has an equational axiomatization relative to iteration algebras.