License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.CSL.2017.31
URN: urn:nbn:de:0030-drops-76739
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/7673/
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Lück, Martin

The Power of the Filtration Technique for Modal Logics with Team Semantics

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LIPIcs-CSL-2017-31.pdf (0.6 MB)

Abstract

Modal Team Logic (MTL) extends Väänänen's Modal Dependence Logic (MDL) by Boolean negation. Its satisfiability problem is decidable, but the exact complexity is not yet understood very well. We investigate a model-theoretical approach and generalize the successful filtration technique to work in team semantics. We identify an "existential" fragment of MTL that enjoys the exponential model property and is therefore, like Propositional Team Logic (PTL), complete for the class AEXP(poly). Moreover, superexponential filtration lower bounds for different fragments of MTL are proven, up to the full logic having no filtration for any elementary size bound. As a corollary, superexponential gaps of succinctness between MTL fragments of equal expressive power are shown.

BibTeX - Entry

@InProceedings{lck:LIPIcs:2017:7673,
  author =	{Martin L{\"u}ck},
  title =	{{The Power of the Filtration Technique for Modal Logics with Team Semantics}},
  booktitle =	{26th EACSL Annual Conference on Computer Science Logic (CSL 2017)},
  pages =	{31:1--31:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-045-3},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{82},
  editor =	{Valentin Goranko and Mads Dam},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7673},
  URN =		{urn:nbn:de:0030-drops-76739},
  doi =		{10.4230/LIPIcs.CSL.2017.31},
  annote =	{Keywords: dependence logic,team logic,modal logic,finite model theory}
}

Keywords: dependence logic,team logic,modal logic,finite model theory
Collection: 26th EACSL Annual Conference on Computer Science Logic (CSL 2017)
Issue Date: 2017
Date of publication: 16.08.2017

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