An Agent for Constraint Acquisition and Emergence

Abstract : Emergence is usually used to denote a collective phenomenon in which the whole organization behaves differently than the sum of its elements. We first present some general ideas about emergence, then recall some useful definitions in the fields of Machine Learning and Constraint Satisfaction Problems, and finally present our work on constraint acquisition as a generalization process
Type de document :
Communication dans un congrès
SYNASC'07: Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, IEEE Computer Society, pp.229-234, 2007, 〈10.1109/SYNASC.2007.80〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00370442
Contributeur : Joël Quinqueton <>
Soumis le : mardi 24 mars 2009 - 13:56:44
Dernière modification le : jeudi 11 janvier 2018 - 06:26:23

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Joël Quinqueton, Gilles Raymond, Christian Bessière. An Agent for Constraint Acquisition and Emergence. SYNASC'07: Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, IEEE Computer Society, pp.229-234, 2007, 〈10.1109/SYNASC.2007.80〉. 〈lirmm-00370442〉

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