Strong Completeness for Markovian Logics

Dexter Kozen, Radu Iulian Mardare, Prakash Panangaden

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

11 Citations (Scopus)

Abstract

In this paper we present Hilbert-style axiomatizations for three logics for reasoning about continuous-space Markov processes (MPs): (i) a logic for MPs defined for probability distributions on measurable state spaces, (ii) a logic for MPs defined for sub-probability distributions and (iii) a logic defined for arbitrary distributions. These logics are not compact so one needs infinitary rules in order to obtain strong completeness results.

We propose a new infinitary rule that replaces the so-called Countable Additivity Rule (CAR) currently used in the literature to address the problem of proving strong completeness for these and similar logics. Unlike the CAR, our rule has a countable set of instances; consequently it allows us to apply the Rasiowa-Sikorski lemma for establishing strong completeness. Our proof method is novel and it can be used for other logics as well.
Original languageEnglish
Title of host publicationMathematical Foundations of Computer Science 2013 : 38th International Symposium, MFCS 2013, Klosterneuburg, Austria, August 26-30, 2013. Proceedings
EditorsKrishnendu Chatterjee , Jirí Sgall
Number of pages12
VolumeLNCS 8087
PublisherSpringer Publishing Company
Publication date2013
Pages655-666
ISBN (Print)978-3-642-40312-5
ISBN (Electronic)978-3-642-40313-2
DOIs
Publication statusPublished - 2013
Event38th International Symposium on Mathematical Foundations of Computer Science - IST Austria, Klosterneuburg, Austria
Duration: 26 Aug 201330 Aug 2013
Conference number: 38th

Conference

Conference38th International Symposium on Mathematical Foundations of Computer Science
Number38th
LocationIST Austria
Country/TerritoryAustria
CityKlosterneuburg
Period26/08/201330/08/2013
SeriesLecture Notes in Computer Science
Volume8087
ISSN0302-9743

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