Existential Arc Consistency: Getting Closer to Full Arc Consistency in Weighted CSPs

Abstract

The weighted CSP framework is a soft constraint framework with a wide range of applications. Most current state-of-the-art complete solvers can be described as a basic depth-first branch and bound search that maintain some form of arc consistency during the search. In this paper we introduce a new stronger form of arc consistency, that we call existential directional arc consistency and we provide an algorithm to enforce it. The efficiency of the algorithm is empirically demonstrated in a variety of domains.

Cite

Text

de Givry et al. "Existential Arc Consistency: Getting Closer to Full Arc Consistency in Weighted CSPs." International Joint Conference on Artificial Intelligence, 2005.

Markdown

[de Givry et al. "Existential Arc Consistency: Getting Closer to Full Arc Consistency in Weighted CSPs." International Joint Conference on Artificial Intelligence, 2005.](https://mlanthology.org/ijcai/2005/degivry2005ijcai-existential/)

BibTeX

@inproceedings{degivry2005ijcai-existential,
  title     = {{Existential Arc Consistency: Getting Closer to Full Arc Consistency in Weighted CSPs}},
  author    = {de Givry, Simon and Heras, Federico and Zytnicki, Matthias and Larrosa, Javier},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2005},
  pages     = {84-89},
  url       = {https://mlanthology.org/ijcai/2005/degivry2005ijcai-existential/}
}