The Measurable Space of Stochastic Processes

  • Authors:
  • Luca Cardelli;Radu Mardare

  • Affiliations:
  • -;-

  • Venue:
  • QEST '10 Proceedings of the 2010 Seventh International Conference on the Quantitative Evaluation of Systems
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

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 stochastic bisimulation is a congruence that extends structural congruence. In addition to an elegant operational semantics, our calculus provides a canonic way to define metrics on processes that measure that measure how similar two processes are in terms of behaviour.