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Conference Papers Year : 2007

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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Dates and versions

lirmm-00121610 , version 1 (21-01-2007)
lirmm-00121610 , version 2 (13-02-2007)

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Joël Quinqueton. Emergence in Problem Solving, Classification and Machine Learning. SYNASC: Symbolic and Numeric Algorithms for Scientific Computing, Sep 2006, Timisoara, Romania. pp.5-9, ⟨10.1109/SYNASC.2006.37⟩. ⟨lirmm-00121610v2⟩
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