Emergence in Problem Solving, Classification and Machine Learning

Abstract : Emergence is usually the way in which a collective organisation behaves differently than the sum of its elements. We propose here an overview of different ways this paradgm is used in several fields of Artificial Intelligence and we propose some theoretical tracks relying on some works in the field of Machine Learning.
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Communication dans un congrès
SYNASC'06: 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, Sep 2007, IEEE Publishing, pp.5-9, 2007
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00121610
Contributeur : Joël Quinqueton <>
Soumis le : mardi 13 février 2007 - 17:06:44
Dernière modification le : jeudi 24 mai 2018 - 15:59:20

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Joël Quinqueton. Emergence in Problem Solving, Classification and Machine Learning. SYNASC'06: 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, Sep 2007, IEEE Publishing, pp.5-9, 2007. 〈lirmm-00121610v2〉

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