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Modeling Complex Phenomena

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

  • Conference proceedings
  • © 1992

Overview

Editors:
  1. Lui Lam

    1. Department of Physics, San Jose State University, San Jose, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Vladimir Naroditsky

    1. Department of Mathematics and Computer Science, San Jose State University, San Jose, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Woodward Conference (WOODWARD)

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Table of contents (16 papers)

  1. Front Matter

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

    1. A Complex Phenomenon: The Human Mind

      • A. N. Okerlund
      Pages 1-2

  3. Paradigms, Complexity, and Learning

    1. Front Matter

      Pages 3-3
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    2. Modeling and Control of Complex Systems: Paradigms and Applications

      • A. Hübler
      Pages 5-65

    3. Knowledge and Meaning: Chaos and Complexity

      • J. P. Crutchfield
      Pages 66-101

    4. Complexity Issues in Robotic Machine Learning of Natural Language

      • Patrick Suppes, Lin Liang, Michale Böttner
      Pages 102-127

  4. Forecasting and Arms Race

    1. Front Matter

      Pages 129-129
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    2. Nonlinear Forecasting, Chaos and Statistics

      • Martin Casdagli
      Pages 131-152

    3. Nonlinear Dynamics and Chaos in Arms Race Models

      • G. Mayer-Kress
      Pages 153-183

  5. Economic Systems

    1. Front Matter

      Pages 185-185
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    2. Chaotic Dynamics in Economic Equilibrium Theory

      • M. Boldrin
      Pages 187-199

    3. Chaos and the Foreign Exchange Market

      • C. Larsen, L. Lam
      Pages 200-205

  6. Earthquakes and Sandpiles

    1. Front Matter

      Pages 207-207
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    2. Earthquakes as a Complex Phenomenon

      • Chao Tang
      Pages 209-220

    3. Application of a Mean Field Approximation to Two Systems that Exhibit Self-Organized Criticality

      • J. Theiler
      Pages 221-228

  7. Fluids and Crystal Growths

    1. Front Matter

      Pages 229-229
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    2. Modeling the Hydrodynamics of Materials Processing

      • W. E. Langlois
      Pages 231-254

    3. Modeling Complex Phenomena in Fluids

      • A. Garcia, D. Morris, J. Stroh, C. Penland
      Pages 255-263

  8. Complex Patterns

    1. Front Matter

      Pages 265-265
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    2. Consensus in Small and Large Audiences

      • V. Kanevsky, A. Garcia, V. Naroditsky
      Pages 267-283
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Keywords

About this book

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.

Editors and Affiliations

  • Department of Physics, San Jose State University, San Jose, USA

    Lui Lam

  • Department of Mathematics and Computer Science, San Jose State University, San Jose, USA

    Vladimir Naroditsky

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