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A Parameterized View on the Complexity of Dependence Logic.

  • Juha Kontinen
  • , Arne Meier
  • , Yasir Mahmood*
  • *Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Abstract

In this paper, we investigate the parameterized complexity of model checking for Dependence Logic which is a well studied logic in the area of Team Semantics. We start with a list of nine immediate parameterizations for this problem, namely: the number of disjunctions (i.e., splits)/(free) variables/universal quantifiers, formula-size, the tree-width of the Gaifman graph of the input structure, the size of the universe/team, and the arity of dependence atoms. We present a comprehensive picture of the parameterized complexity of model checking and obtain a division of the problem into tractable and various intractable degrees. Furthermore, we also consider the complexity of the most important variants (data and expression complexity) of the model checking problem by fixing parts of the input.

Original languageEnglish
Title of host publicationLogical Foundations of Computer Science
Subtitle of host publicationInternational Symposium, LFCS 2022, Deerfield Beach, FL, USA, January 10-13, 2022, Proceedings.
EditorsSergei Artemov, Anil Nerode
Place of PublicationCham
Pages125-142
Number of pages18
ISBN (Electronic)978-3-030-93100-1
DOIs
Publication statusPublished - 2022
EventInternational Symposium on Logical Foundations of Computer Science, LFCS 2020 - Deerfield Beach, United States
Duration: 4 Jan 20207 Jan 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13137 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Symposium on Logical Foundations of Computer Science, LFCS 2020
Country/TerritoryUnited States
CityDeerfield Beach
Period4 Jan 20207 Jan 2020

Keywords

  • Dependence logic
  • Model checking
  • Parameterized complexity
  • Team semantics

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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