---
title: "Propagate the Right Thing: How Preferences Can Speed-Up Constraint Solving"
authors:
  - "Christian Bessière"
  - "Anaïs Fabre"
  - "Ulrich Junker"
doi: ""
url: "https://ijcai.org/proceedings/2003/27"
pdf: "https://ijcai.org/proceedings/2003/0027.pdf"
venue: "Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence"
year: 2003
pages: "191-195"
track: ""
keywords:
---

# Propagate the Right Thing: How Preferences Can Speed-Up Constraint Solving

Christian Bessière, Anaïs Fabre, Ulrich Junker

*Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence*, pages 191-195.

## Abstract

We present an algorithm Pref-AC that limits arc consistency (AC) to the preferred choices of a tree search procedure and that makes constraint solving more efficient without changing the pruning and shape of the search tree. Arc consistency thus becomes more scalable and usable for many realworld constraint satisfaction problems such as configuration and scheduling. Moreover, Pref-AC directly computes a preferred solution for tree-like constraint satisfaction problems.