An algebraic theory of Markov processes

Giorgio Bacci, Radu Mardare, Prakash Panangaden, Gordon Plotkin

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

5 Citations (Scopus)


Markov processes are a fundamental model of probabilistic transition systems and are the underlying semantics of probabilistic programs.We give an algebraic axiomatisation of Markov processes using the framework of quantitative equational logic introduced in [13]. We present the theory in a structured way using work of Hyland et al. [9] on combining monads. We take the interpolative barycentric algebras of [13] which captures the Kantorovich metric and combine it with a theory of contractive operators to give the required axiomatisation of Markov processes both for discrete and continuous state spaces. This work apart from its intrinsic interest shows how one can extend the general notion of combining effects to the quantitative setting.

Original languageEnglish
Title of host publicationLICS '18 : Proceedings of the 33rd Annual ACM/IEEE Symposium on Logic in Computer Science
Place of PublicationNew York, NY.
Number of pages10
Publication statusPublished - 9 Jul 2018
Event33rd Annual ACM/IEEE Symposium on Logic in Computer Science, LICS 2018 - Oxford, United Kingdom
Duration: 9 Jul 201812 Jul 2018


Conference33rd Annual ACM/IEEE Symposium on Logic in Computer Science, LICS 2018
CountryUnited Kingdom


  • combining monads
  • equational logic
  • Markov processes
  • quantitative reasoning

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