D. Angluin, Queries and concept learning. Machine Learning, vol.2, pp.319-342, 1987.

N. Beldiceanu and M. Carlsson, Global constraint catalogue : Past, present and future, Constraints, vol.12, issue.1, pp.21-62, 2007.

N. Beldiceanu and H. Simonis, A model seeker : Extracting global constraint models from positive examples, Principles and Practice of Constraint Programming -18th International Conference, vol.2012, pp.141-157, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00754341

C. Bessiere, R. Coletta, E. C. Freuder, and B. Sullivan, Leveraging the learning power of examples in automated constraint acquisition, 10th International Conference, vol.3258, pp.123-137, 2004.
URL : https://hal.archives-ouvertes.fr/lirmm-00108774

C. Bessiere, R. Coletta, E. Hebrard, G. Katsirelos, N. Lazaar et al., Constraint acquisition via partial queries, IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, 2013.
URL : https://hal.archives-ouvertes.fr/lirmm-00830325

C. Bessiere, R. Coletta, F. Koriche, and B. Sullivan, A sat-based version space algorithm for acquiring constraint satisfaction problems, Machine Learning : ECML 2005, 16th European Conference on Machine Learning, vol.3720, pp.23-34, 2005.
URL : https://hal.archives-ouvertes.fr/lirmm-00106044

C. Bessiere, R. Coletta, O. Barry, M. Sullivan, and . Paulin, Query-driven constraint acquisition, Proceedings of the 20th International Joint Conference on Artificial Intelligence, pp.50-55, 2007.
URL : https://hal.archives-ouvertes.fr/lirmm-00195905

C. Bessiere and F. Koriche, Non learnability of constraint networks with membership queries, 2012.

B. Cabon, L. Simon-de-givry, T. Lobjois, J. P. Schiex, and . Warners, Radio link frequency assignment, Constraints, vol.4, issue.1, pp.79-89, 1999.

E. C. Freuder and R. J. Wallace, Suggestion strategies for constraint-based matchmaker agents, International Journal on Artificial Intelligence Tools, vol.11, issue.1, pp.3-18, 2002.

U. Junker, Quickxplain : Preferred explanations and relaxations for over-constrained problems, Proceedings of the Nineteenth National Conference on Artificial Intelligence, Sixteenth Conference on Innovative Applications of Artificial Intelligence, pp.167-172, 2004.

A. Lallouet, M. Lopez, L. Martin, and C. Vrain, On learning constraint problems, 22nd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2010, vol.1, pp.45-52, 2010.
URL : https://hal.archives-ouvertes.fr/hal-01016891