The measurable space of stochastic processes

Luca Cardelli, Radu Mardare

Research output: Contribution to journalArticle

Abstract

We introduce a stochastic extension of CCS endowed with structural operational semantics expressed in terms of measure theory. The set of processes is organised as a measurable space by the sigma-algebra generated by structural congruence. The structural operational semantics associates to each process a set of measures over the space of processes. The measures encode the rates of the transitions from a process (state of a system) to a measurable set of processes. We prove that the stochastic bisimilarity is a congruence, which extends the structural congruence. In addition to an elegant operational semantics, our calculus provides a canonic way to define metrics on processes that measure how similar two processes are in terms of behaviour.

Original languageEnglish
Pages (from-to)351-371
Number of pages21
JournalFundamenta Informaticae
Volume131
Issue number3-4
DOIs
Publication statusPublished - 1 Jan 2014

Keywords

  • Markov processes
  • stochastic process algebras
  • structural operational semantics

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