Emergence in Problem Solving, Classification and Machine Learning

Joël Quinqueton

doi:10.1109/SYNASC.2006.37

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Emergence in Problem Solving, Classification and Machine Learning

Acte de colloque

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Emergence in Problem Solving, Classification and Machine Learning

Joël Quinqueton

8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, pp.5-9

SYNASC: Symbolic and Numeric Algorithms for Scientific Computing (Timisoara, Romania, 26/09/2006–29/09/2006)

02/2007

DOI: https://doi.org/10.1109/SYNASC.2006.37

Résumé

Ant Algorithms

Machine Learning

Emergence

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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Détails

Titre: Emergence in Problem Solving, Classification and Machine Learning
Créateurs - sans rôle: Joël Quinqueton - Université de Montpellier, Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier - LIRMM
Détails de publication: 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, pp.5-9
Colloque: SYNASC: Symbolic and Numeric Algorithms for Scientific Computing (Timisoara, Romania, 26/09/2006–29/09/2006)
Identifiants: 99150553009311
Unité académique: Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier - LIRMM
Langue: English
Type de ressource: Conference proceeding
Champs locaux: lirmm-00121610