Compositional derivation of symmetries for constraint satisfaction

  • Authors:

  • Pascal Van Hentenryck;Pierre Flener;Justin Pearson;Magnus Ågren

  • Affiliations:

  • Department of Computer Science, Brown University, Providence, RI;Department of Information Technology, Uppsala University, Uppsala, Sweden;Department of Information Technology, Uppsala University, Uppsala, Sweden;Department of Information Technology, Uppsala University, Uppsala, Sweden

  • Venue:
  • SARA'05 Proceedings of the 6th international conference on Abstraction, Reformulation and Approximation
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper reconsiders the problems of discovering symmetries in constraint satisfaction problems (CSPs). It proposes a compositional approach which derives symmetries of the applications from primitive constraints. The key insight is the recognition of the special role of global constraints in symmetry detection. Once the symmetries of global constraints are available, it often becomes much easier to derive symmetries compositionally and efficiently. The paper demonstrates the potential of this approach by studying several classes of value and variable symmetries and applying the resulting techniques to two non-trivial applications. The paper also discusses the potential of reformulations and high-level modeling abstractions to strengthen symmetry discovery.