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From Cells to Societies: Models of Complex Coherent Action: Springer Series in Synergetics

Autor Alexander S. Mikhailov, Vera Calenbuhr
en Limba Engleză Paperback – dec 2010
This book, written by two well-known scientists, represents an excellent ad­ dition to the Springer Series in Synergetics in several ways. It shows how by rather simple models we can gain remarkable insights into the behavior of complex systems. At the same time it demonstrates the progress made in this interdisciplinary field. While in the early days of Synergetics, the self­ organized coherent action of atoms in the laser - a physical device - was in the foreground of interest (cf. my book Synergetics: An Introduction (Springer, Berlin, Heidelberg, New York 1977)), the coherent action of nerve cells got into the focus of research, as is witnessed by the book by P. Tass in this series (P. Tass, Phase Resetting in Medicine and Biology (Springer, Berlin, Heidel­ berg, New York 1999)). In these books the elements were disturbed by noise. Now, in the present book by Mikhailov and Calenbuhr, the self-organized coherent action of otherwise chaotic elements is studied and important as well as surprising results by Kaneko, Mikhailov and others are presented. Let me mention just another highly interesting problem treated in this book: the coherent interaction of tens of thousands of reactions going on in biological cells. But other phenomena, such as the formation of swarms of fish or the collective behavior of ants, are also modelled. These are just a few examples of the many fascinating subjects dealt with in this book that relate to many disciplines under unifying aspects.
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  Springer Berlin, Heidelberg – 7 aug 2002 61110 lei  6-8 săpt.

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Specificații

ISBN-13: 9783642075742
ISBN-10: 3642075746
Pagini: 316
Ilustrații: X, 302 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.45 kg
Ediția:Softcover reprint of hardcover 1st ed. 2002
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Series in Synergetics

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

1. Introduction.- 2. The Games of Life.- 3. Active Motion.- 4. Ridden by the Noise ....- 5. Dynamics with Delays and Expectations.- 6. Mutual Synchronization.- 7. Dynamical Clustering..- 8. Hierarchical Organization.- 9. Dynamics and Evolution of Networks..- References.

Recenzii

From the reviews:
"The book provides an elementary introduction to the collective dynamics for researchers and graduate students in a variety of disciplines, such as physics, chemistry, biology and social sciences." (Zentralblatt MATH, 1011, 2003)
"This book constitutes a reference of invaluable usefulness for all researchers interested in the study of collective phenomena. … Moreover, each topic is presented in a form which, without neglecting all mathematical details, allows for an immediate understanding of its deep conceptual grounds … . This book is highly recommended also because it contains discussions of some subjects which it would be difficult to find elsewhere." (E. Pessa, Mathematical Reviews, Issue 2004 c)

Textul de pe ultima copertă

This book shows how, by rather simple models, we can gain remarkable insights into the behavior of complex systems. It is devoted to the discussion of functional self-organization in large populations of interacting active elements. The possible forms of self-organization in such systems range from coherent collective motions in the physical coordinate space to the mutual synchronization of internal dynamics, the development of coherently operating groups, the rise of hierarchical structures, and the emergence of dynamical networks. Such processes play an important role in biological and social phenomena. The authors have chosen a series of models from physics, biochemistry, biology, sociology and economics, and will systematically discuss their general properties. The book addresses researchers and graduate students in a variety of disciplines, such as physics, chemistry, biology and the social sciences.

Caracteristici

An interdisciplinary title Uses simple models to show how to gain remarkable insights into the behavior of complex systems Models chosen from physics, biochemistry, biology, sociology and economics Includes supplementary material: sn.pub/extras