Limits of Predictability

  • Yurii A. Kravtsov

Part of the Springer Series in Synergetics book series (SSSYN, volume 60)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Yu. A. Kravtsov
    Pages 1-5
  3. A. S. Monin, L. I. Piterbarg
    Pages 7-44
  4. M. A. Sadovskii, V. F. Pisarenko
    Pages 161-172
  5. L. N. Gumilev, V. Yu. Yermolaev
    Pages 239-250
  6. Back Matter
    Pages 251-255

About this book

Introduction

One of the driving forces behind much of modern science and technology is the desire to foresee and thereby control the future. In recent years, however, it has become clear that, even in a deterministic world, there is alimit to the accuracy with which we can predict the future. This book details, in a largely nontechnical style, the extent to which we can predict the future development of various physical, biological and socio-economic processes.

Keywords

Chaos Economy Nonlinear Processes Predictability chaos theory deterministic chaos dynamical systems forecasting information theory nonlinearity optimization

Editors and affiliations

  • Yurii A. Kravtsov
    • 1
  1. 1.Institute of General Physics, Small Venture GROTRussian Academy of SciencesMoscowRussia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-51008-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 1993
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-51010-6
  • Online ISBN 978-3-642-51008-3
  • Series Print ISSN 0172-7389
  • About this book