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Modeling Complex Phenomena

Proceedings of the Third Woodward Conference, San Jose State University, April 12–13, 1991

  • Lui Lam
  • Vladimir Naroditsky

Part of the Woodward Conference book series (WOODWARD)

Table of contents

  1. Front Matter
    Pages i-xi
  2. A Complex Phenomenon: The Human Mind

    1. A. N. Okerlund
      Pages 1-2
  3. Paradigms, Complexity, and Learning

    1. Front Matter
      Pages 3-3
    2. J. P. Crutchfield
      Pages 66-101
    3. Patrick Suppes, Lin Liang, Michale Böttner
      Pages 102-127
  4. Forecasting and Arms Race

    1. Front Matter
      Pages 129-129
    2. Martin Casdagli
      Pages 131-152
  5. Economic Systems

    1. Front Matter
      Pages 185-185
    2. C. Larsen, L. Lam
      Pages 200-205
  6. Earthquakes and Sandpiles

  7. Fluids and Crystal Growths

    1. Front Matter
      Pages 229-229
    2. A. Garcia, D. Morris, J. Stroh, C. Penland
      Pages 255-263
  8. Complex Patterns

    1. Front Matter
      Pages 265-265
    2. V. Kanevsky, A. Garcia, V. Naroditsky
      Pages 267-283
    3. R. D. Freimuth, L. Lam
      Pages 302-313
  9. Back Matter
    Pages 315-315

About these proceedings

Introduction

Once upon a time, science was not divided into disciplines as we know it today. There was no distinction between so-called social and natural sciences, not to mention the fragmentation of the latter into physics, chemistry, biology, geology, etc. According to legend, the scientists those days would do their research in whatever environment they happened to find comfortable, which more often than not was in bathtubs or giant hot tubs - remember Archimedes! Then, somehow, these days we find ourselves compartmentalized into different departments in our universities, or divisions in our research institutes. (We suspect, for one thing, that is to ensure that we will get our paychecks delivered on time at the end of each month. ) Anyway, as anyone who has worked in the real world knows: when one is confronted with a completely new problem or phenomenon, it is usually impossible to neatly assign the problem to physics, chemistry, or, for that matter, computer science. One needs to recall and fuse together the knowledge one learned before and, if that alone is insufficient, to consult experts in other areas. This points to the shortcomings of the compartmentalization of knowledge in our educational systems. In recent years, something has changed. Under the banner of Complex Systems, some brave souls are not afraid to tackle problems that are considered intractable by others, and dare to venture out of their trained disciplines or departments to which they are attached.

Keywords

Diffusion chaos complex system complex systems complexity dynamics learning nonlinear dynamics stability

Editors and affiliations

  • Lui Lam
    • 1
  • Vladimir Naroditsky
    • 2
  1. 1.Department of PhysicsSan Jose State UniversitySan JoseUSA
  2. 2.Department of Mathematics and Computer ScienceSan Jose State UniversitySan JoseUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4613-9229-3
  • Copyright Information Springer-Verlag New York 1992
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-9231-6
  • Online ISBN 978-1-4613-9229-3
  • Series Print ISSN 1431-1674
  • Buy this book on publisher's site