---
title: "Query-Driven Constraint Acquisition"
authors:
  - "Christian Bessière"
  - "Remi Coletta"
  - "Barry O'Sullivan"
  - "Mathias Paulin"
doi: ""
url: "https://ijcai.org/proceedings/2007/6"
pdf: "https://ijcai.org/proceedings/2007/0006.pdf"
venue: "Proceedings of the Twentieth International Joint Conference on Artificial Intelligence"
year: 2007
pages: "50-54"
track: ""
keywords:
---

# Query-Driven Constraint Acquisition

Christian Bessière, Remi Coletta, Barry O'Sullivan, Mathias Paulin

*Proceedings of the Twentieth International Joint Conference on Artificial Intelligence*, pages 50-54.

## Abstract

The modelling and reformulation of constraint networks are recognised as important problems. The task of automatically acquiring a constraint network formulation of a problem from a subset of its solutions and non-solutions has been presented in the literature. However, the choice of such a subset was assumed to be made independently of the acquisition process. We present an approach in which an interactive acquisition system actively selects a good set of examples. We show that the number of examples required to acquire a constraint network is significantly reduced using our approach.