Complexity, Chaos, and Biological Evolution

  • Erik Mosekilde
  • Lis Mosekilde

Part of the NATO ASI Series book series (NSSB, volume 270)

Table of contents

  1. Front Matter
    Pages i-xi
  2. An Introductory Overview

    1. Front Matter
      Pages 1-1
    2. Erik Mosekilde, Ole Lund, Lis Mosekilde
      Pages 3-29
    3. A. Babloyantz
      Pages 31-40
    4. Hanspeter Herzel, Ina Steinecke, Werner Mende, Kathleen Wermke
      Pages 41-50
    5. David Lloyd, Evgenii I. Volkov
      Pages 51-59
  3. Complex Dynamics in Physiological Control Systems

    1. Front Matter
      Pages 61-61
    2. Donald J. Marsh, N.-H. Holstein-Rathlou, K.-P. Yip, Paul P. Leyssac
      Pages 63-74
    3. Jeppe Sturis, Kenneth S. Polonsky, John D. Blackman, Carsten Knudsen, Erik Mosekilde, Eve Van Cauter
      Pages 75-93
    4. K. Prank, H. Harms, Chr. Kayser, G. Brabant, L. F. Olsen, R. D. Hesch
      Pages 95-118
  4. Membrane Activity and Cell to Cell Signalling

    1. Front Matter
      Pages 129-129
    2. A. Goldbeter, Y. X. Li, G. Dupont
      Pages 131-143
    3. Henrik Østergaard Madsen, Morten Colding-Jørgensen, Brian Bodholdt
      Pages 155-161
    4. Morten Colding-Jørgensen
      Pages 163-178
  5. Evolutionary Dynamics and Artificial Life

    1. Front Matter
      Pages 193-193

About this book

Introduction

From time to time, perhaps a few times each century, a revolution occurs that questions some of our basic beliefs and sweeps across otherwise well guarded disciplinary boundaries. These are the periods when science is fun, when new paradigms have to be formulated, and when young scientists can do serious work without first having to acquire all the knowledge of their teachers. The emergence of nonlinear science appears to be one such revolution. In a surprising manner, this new science has disclosed a number of misconceptions in our traditional understanding of determinism. In particular, it has been shown that the notion of predictability, according to which the trajectory of a system can be precisely determined if one knows the equations of motion and the initial conditions, is related to textbook examples of simple; integrable systems. This predictability does not extend to nonlinear, conservative systems in general. Dissipative systems can also show unpredictability, provided that the motion is sustained by externally supplied energy and/or resources. These discoveries, and the associated discovery that even relatively simple nonlinear systems can show extremely complex behavior, have brought about an unprecedented feeling of common interest among scientists from many different disciplines. During the last decade or two we have come to understand that there are universal routes to chaos, we have learned about stretching and folding, and we have discovered the beautiful fractal geometry underlying chaotic attractors.

Keywords

artificial life behavior cell cell membrane evolution living systems morphogenesis

Editors and affiliations

  • Erik Mosekilde
    • 1
  • Lis Mosekilde
    • 2
  1. 1.Technical University of DenmarkLyngbyDenmark
  2. 2.University of AarhusAarhusDenmark

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4684-7847-1
  • Copyright Information Springer-Verlag US 1992
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4684-7849-5
  • Online ISBN 978-1-4684-7847-1
  • Series Print ISSN 0258-1221
  • About this book