G. Brewka, T. Eiter, and M. Truszczy´nskitruszczy´nski, Answer set programming at a glance, Communications of the ACM, vol.54, issue.12, pp.92-103, 2011.
DOI : 10.1145/2043174.2043195

W. Correa, H. Prade, and G. Richard, When intelligence is just a matter of copying, Proc. 20th Europ. Conf. on Artificial Intelligence, pp.27-31, 2012.

R. M. French, The computational modeling of analogy-making, Trends in Cognitive Sciences, vol.6, issue.5, pp.200-205, 2002.
DOI : 10.1016/S1364-6613(02)01882-X

D. Gentner, K. J. Holyoak, and B. N. Kokinov, The Analogical Mind: Perspectives from Cognitive Science, Cognitive Science, and Philosophy, 2001.

D. Hofstadter, M. Mitchell, and D. Hofstadter, The Copycat project: A model of mental fluidity and analogy-making The Fluid Analogies Research Group (eds.) Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought, pp.205-267, 1995.

Y. Lepage, Analogy and Formal Languages, Electronic Notes in Theoretical Computer Science, vol.53, 2001.
DOI : 10.1016/S1571-0661(05)82582-4

Y. Lepage, Analogy and Formal Languages, Proc. FG/MOL 2001, pp.373-378, 2001.
DOI : 10.1016/S1571-0661(05)82582-4
URL : http://doi.org/10.1016/s1571-0661(05)82582-4

M. Lichman, UCI machine learning repository, 2013.

E. Melis and M. Veloso, Analogy in problem solving In: Handbook of Practical Reasoning: Computational and Theoretical Aspects, 1998.

L. Miclet, S. Bayoudh, and A. Delhay, Analogical dissimilarity: definition, algorithms and two experiments in machine learning, pp.32-793, 2008.

L. Miclet and H. Prade, Handling Analogical Proportions in Classical Logic and Fuzzy Logics Settings, Proc. 10th Eur. Conf. on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU'09), 2009.
DOI : 10.1007/BFb0017032

L. Miclet, N. Barbot, and H. Prade, From analogical proportions in lattices to proportional analogies in formal concepts, ECAI -21th European Conference on Artificial Intelligence, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01000314

L. Miclet, H. Prade, and D. Guennec, Looking for Analogical Proportions in a Formal Concept Analysis Setting, Conference on Concept Lattices and Their Applications, pp.295-307, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00657243

H. Prade and G. Richard, Homogeneous logical proportions: Their uniqueness and their role in similarity-based prediction, Proc. of the 13th International Conference on Principles of Knowledge Representation and Reasoning KR2012 pp, pp.402-412, 2012.

M. Radvansky and V. Sklenar, Fca extension for ms excel, 2007.

N. Stroppa and F. Yvon, An analogical learner for morphological analysis, Proceedings of the Ninth Conference on Computational Natural Language Learning, CONLL '05, pp.120-127, 2005.
DOI : 10.3115/1706543.1706565

N. Stroppa and F. Yvon, Analogical learning and formal proportions: Definitions and methodological issues, ENST Paris report, 2005.

N. Stroppa and F. Yvon, Duquatrì eme de proportion comme principe inductif : une proposition et son applicationàapplication`applicationà l'apprentissage de la morphologie, Traitement Automatique des Langues, vol.47, issue.2, pp.1-27, 2006.

S. Yevtushenko, System of data analysis " concept explorer " . (in russian), Proc. of the 7th national conference on artificial intelligence (KII-2000) ,Russia, pp.127-134, 2000.