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MFCS 2018

Consistency for Counting Quantifiers

Conference Paper Accepted Paper Algorithms and Complexity ยท Theoretical Computer Science

Abstract

We apply the algebraic approach for Constraint Satisfaction Problems (CSPs) with counting quantifiers, developed by Bulatov and Hedayaty, for the first time to obtain classifications for computational complexity. We develop the consistency approach for expanding polymorphisms to deduce that, if H has an expanding majority polymorphism, then the corresponding CSP with counting quantifiers is tractable. We elaborate some applications of our result, in particular deriving a complexity classification for partially reflexive graphs endowed with all unary relations. For each such structure, either the corresponding CSP with counting quantifiers is in P, or it is NP-hard.

Authors

Keywords

  • Quantified Constraints
  • Constraint Satisfaction
  • Logic in Computer Science
  • Universal Algebra
  • Computational Complexity

Context

Venue
International Symposium on Mathematical Foundations of Computer Science
Archive span
1973-2025
Indexed papers
3045
Paper id
1022518240659029697
v2026.09.13