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)
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Complex system modelling and methodology
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Swarm intelligence and neuronal learning
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Socio-environmental complex modelling and territorial intelligence
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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
Bibliographic Information
Book Title: Complex Systems and Self-organization Modelling
Editors: Cyrille Bertelle, Gérard H.E. Duchamp, Hakima Kadri-Dahmani
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-3-540-88073-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-540-88072-1Published: 08 January 2009
Softcover ISBN: 978-3-642-09983-0Published: 19 November 2010
eBook ISBN: 978-3-540-88073-8Published: 03 December 2008
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: XI, 236
Number of Illustrations: 52 b/w illustrations, 54 illustrations in colour
Topics: Vibration, Dynamical Systems, Control, Complex Systems, Dynamical Systems and Ergodic Theory, Mathematical and Computational Engineering, Statistical Physics and Dynamical Systems