Continuous Markovian logic - From complete axiomatization to the metric space of formulas

Luca Cardelli, Kim G. Larsen, Radu Mardare

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

9 Citations (Scopus)

Abstract

Continuous Markovian Logic (CML) is a multimodal logic that expresses quantitative and qualitative properties of continuous-space and continuous-time labelled Markov processes (CMPs). The modalities of CML approximate the rates of the exponentially distributed random variables that characterize the duration of the labeled transitions. In this paper we present a sound and complete Hilbert-style axiomatization of CML for the CMP-semantics and prove some meta-properties including the small model property. CML characterizes stochastic bisimulation and supports the definition of a quantified extension of satisfiability relation that measures the compatibility of a model and a property. Relying on the small model property, we prove that this measure can be approximated, within a given error, by using a distance between logical formulas.

Original languageEnglish
Title of host publicationComputer Science Logic 2011 - 25th International Workshop/20th Annual Conference of the EACSL, CSL 2011
Pages144-158
Number of pages15
Volume12
DOIs
Publication statusPublished - 1 Dec 2011
Event25th International Workshop on Computer Science Logic, CSL 2011/20th Annual Conference of the European Association for Computer Science Logic, EACSL - Bergen, Norway
Duration: 12 Sep 201115 Sep 2011

Conference

Conference25th International Workshop on Computer Science Logic, CSL 2011/20th Annual Conference of the European Association for Computer Science Logic, EACSL
CountryNorway
CityBergen
Period12/09/1115/09/11

Keywords

  • axiomatization
  • Markov processes
  • metric semantics
  • probabilistic logic

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    Cardelli, L., Larsen, K. G., & Mardare, R. (2011). Continuous Markovian logic - From complete axiomatization to the metric space of formulas. In Computer Science Logic 2011 - 25th International Workshop/20th Annual Conference of the EACSL, CSL 2011 (Vol. 12, pp. 144-158) https://doi.org/10.4230/LIPIcs.CSL.2011.144