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Complex Systems and Self-organization Modelling

  • Book
  • © 2009

Overview

  • Devoted to the use of emergent computing and self-organization modelling within various applications of complex systems
  • Presents innovative concepts and implementations in order to model self-organizations
  • Brings together researchers from physics, engineering, biology, and chemistry
  • Presents multidisciplinary approaches for getting representations of complex systems and using different methods to extract emergent structures
  • Includes supplementary material: sn.pub/extras

Part of the book series: Understanding Complex Systems (UCS)

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Table of contents (18 chapters)

  1. Complex system modelling and methodology

  2. Swarm intelligence and neuronal learning

  3. Socio-environmental complex modelling and territorial intelligence

  4. Emotion and cognition modelling

Keywords

About this book

The concern of this book is the use of emergent computing and self-organization modelling within various applications of complex systems. The authors focus their attention both on the innovative concepts and implementations in order to model self-organizations, but also on the relevant applicative domains in which they can be used efficiently.

This book is the outcome of a workshop meeting within ESM 2006 (Eurosis), held in Toulouse, France in October 2006.

Editors and Affiliations

  • LITIS (EA 4051) UFR Sciences et Techniques, France

    Cyrille Bertelle

  • LIPN - UMR CNRS 7030 University of Paris 13, France

    Gérard H.E. Duchamp

  • Laboratoire d’Informatique de l’université Paris Nord Institut Galilée, France

    Hakima Kadri-Dahmani

Bibliographic Information

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