Foundations of Synergetics I

Distributed Active Systems

  • Alexander S. Mikhailov
Part of the Springer Series in Synergetics book series (SSSYN, volume 51)

Table of contents

  1. Front Matter
    Pages I-X
  2. Alexander S. Mikhailov
    Pages 1-13
  3. Alexander S. Mikhailov
    Pages 14-31
  4. Alexander S. Mikhailov
    Pages 32-80
  5. Alexander S. Mikhailov
    Pages 81-98
  6. Alexander S. Mikhailov
    Pages 99-112
  7. Alexander S. Mikhailov
    Pages 113-154
  8. Alexander S. Mikhailov
    Pages 155-176
  9. Back Matter
    Pages 177-189

About this book

Introduction

This book gives an introduction to the mathematical theory of cooperative behavior in active systems of various origins, both natural and artificial. It is based on a lecture course in synergetics which I held for almost ten years at the University of Moscow. The first volume deals mainly with the problems of pattern fonnation and the properties of self-organized regular patterns in distributed active systems. It also contains a discussion of distributed analog information processing which is based on the cooperative dynamics of active systems. The second volume is devoted to the stochastic aspects of self-organization and the properties of self-established chaos. I have tried to avoid delving into particular applications. The primary intention is to present general mathematical models that describe the principal kinds of coopera­ tive behavior in distributed active systems. Simple examples, ranging from chemical physics to economics, serve only as illustrations of the typical context in which a particular model can apply. The manner of exposition is more in the tradition of theoretical physics than of in mathematics: Elaborate fonnal proofs and rigorous estimates are often replaced the text by arguments based on an intuitive understanding of the relevant models. Because of the interdisciplinary nature of this book, its readers might well come from very diverse fields of endeavor. It was therefore desirable to minimize the re­ quired preliminary knowledge. Generally, a standard university course in differential calculus and linear algebra is sufficient.

Keywords

Dissipative Patterns Neural Networks Nonlinear Waves Self-organization Synergetics evolution neural network pattern

Authors and affiliations

  • Alexander S. Mikhailov
    • 1
  1. 1.Department of PhysicsMoscow State UniversityMoscowUSSR

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-78556-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 1990
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-78558-0
  • Online ISBN 978-3-642-78556-6
  • Series Print ISSN 0172-7389
  • About this book