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Disordered Systems and Biological Organization

  • E. Bienenstock
  • F. Fogelman Soulié
  • G. Weisbuch

Part of the NATO ASI Series book series (volume 20)

Table of contents

  1. Front Matter
    Pages I-XXI
  2. Automata Theory

    1. Front Matter
      Pages 1-1
    2. Yves Robert, Maurice Tchuente
      Pages 49-52
    3. H. Hartman, G. Y. Vichniac
      Pages 53-57
    4. Jean-Paul Allouche
      Pages 59-62
    5. Michel Cosnard, Eric Goles Chacc
      Pages 63-66
    6. Didier Pellegrin
      Pages 67-70
    7. J. Demongeot, J. Fricot
      Pages 71-84
    8. E. Goles
      Pages 101-112
  3. Physical Disordered Systems

    1. Front Matter
      Pages 117-117
    2. R. Mosseri, J. F. Sadoc
      Pages 149-152
  4. Formal Neural Networks

    1. Front Matter
      Pages 153-153
    2. J. J. Hopfield, D. W. Tank
      Pages 155-170
    3. P. Peretto, J. J. Niez
      Pages 171-185
    4. Gérard Weisbuch, Dominique D’humieres
      Pages 187-191
    5. L. D. Jackel, R. E. Howard, H. P. Graf, J. Denker, B. Straughn
      Pages 193-196
    6. M. A. Virasoro
      Pages 197-204
    7. James A. Anderson
      Pages 209-226
    8. L. Personnaz, I. Guyon, G. Dreyfus
      Pages 227-231
    9. D. d’Humières
      Pages 241-245
    10. J. Buhmann, K. Schulten
      Pages 273-279
  5. Combinatorial Optimization

    1. Front Matter
      Pages 281-281
    2. Sara A. Solla, Gregory B. Sorkin, Steve R. White
      Pages 283-293
    3. Donald Geman, Stuart Geman
      Pages 301-319
    4. I. G. Rosenberg
      Pages 327-331
  6. Models of Biological Organization

  7. Back Matter
    Pages 403-407

About these proceedings

Introduction

The NATO workshop on Disordered Systems and Biological Organization was attended, in march 1985, by 65 scientists representing a large variety of fields: Mathematics, Computer Science, Physics and Biology. It was the purpose of this interdisciplinary workshop to shed light on the conceptual connections existing between fields of research apparently as different as: automata theory, combinatorial optimization, spin glasses and modeling of biological systems, all of them concerned with the global organization of complex systems, locally interconnected. Common to many contributions to this volume is the underlying analogy between biological systems and spin glasses: they share the same properties of stability and diversity. This is the case for instance of primary sequences of biopo Iymers I ike proteins and nucleic acids considered as the result of mutation-selection processes [P. W. Anderson, 1983] or of evolving biological species [G. Weisbuch, 1984]. Some of the most striking aspects of our cognitive apparatus, involved In learning and recognttlon [J. Hopfield, 19821, can also be described in terms of stability and diversity in a suitable configuration space. These interpretations and preoccupations merge with those of theoretical biologists like S. Kauffman [1969] (genetic networks) and of mathematicians of automata theory: the dynamics of networks of automata can be interpreted in terms of organization of a system in multiple possible attractors. The present introduction outlInes the relationships between the contributions presented at the workshop and brIefly discusses each paper in its particular scientific context.

Keywords

automata combinatorial optimization computer science learning mathematics modeling mutation optimization

Editors and affiliations

  • E. Bienenstock
    • 1
  • F. Fogelman Soulié
    • 2
  • G. Weisbuch
    • 3
  1. 1.Laboratoire de Neurobiologie du DéveloppementUniversité de Paris XIOrsayFrance
  2. 2.Laboratoire de Dynamique des ReseauxL.D.R. CESTAParisFrance
  3. 3.Groupe de Physique des SolidesÉcole Normale SupérieureParisFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-82657-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 1986
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-82659-7
  • Online ISBN 978-3-642-82657-3
  • Buy this book on publisher's site