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 language | English |
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Title of host publication | Computer Science Logic 2011 - 25th International Workshop/20th Annual Conference of the EACSL, CSL 2011 |
Pages | 144-158 |
Number of pages | 15 |
Volume | 12 |
DOIs | |
Publication status | Published - 1 Dec 2011 |
Event | 25th International Workshop on Computer Science Logic, CSL 2011/20th Annual Conference of the European Association for Computer Science Logic, EACSL - Bergen, Norway Duration: 12 Sept 2011 → 15 Sept 2011 |
Conference
Conference | 25th International Workshop on Computer Science Logic, CSL 2011/20th Annual Conference of the European Association for Computer Science Logic, EACSL |
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Country/Territory | Norway |
City | Bergen |
Period | 12/09/11 → 15/09/11 |
Keywords
- axiomatization
- Markov processes
- metric semantics
- probabilistic logic