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Conference Papers Year : 2007

Query-Driven Constraint Acquisition

Remi Coletta
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Barry O'Sullivan
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Mathias Paulin

Abstract

The modelling and reformulation of constraint net- works are recognised as important problems. The task of automatically acquiring a constraint net- work 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 ac- quisition 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.

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lirmm-00195905 , version 1 (26-04-2023)

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  • HAL Id : lirmm-00195905 , version 1

Cite

Christian Bessiere, Remi Coletta, Barry O'Sullivan, Mathias Paulin. Query-Driven Constraint Acquisition. IJCAI 2007 - 20th International Joint Conference on Artificial Intelligence, Jan 2007, Hyderabad, India. pp.44-49. ⟨lirmm-00195905⟩
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