Modeling Complex Systems

  • Nino Boccara

Part of the Graduate Texts in Contemporary Physics book series (GTCP)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Introduction

    1. Pages 1-16
  3. Mean-Field Type Models

    1. Front Matter
      Pages 38-39
    2. Pages 41-106
    3. Pages 107-143
    4. Pages 145-183
  4. Agent-Based Models

    1. Front Matter
      Pages 185-189
    2. Pages 191-273
    3. Pages 275-310
    4. Pages 311-365
  5. Back Matter
    Pages 367-397

About this book

Introduction

This book explores the process of modeling complex systems in the widest sense of that term, drawing on examples from such diverse fields as ecology, epidemiology, sociology, seismology, as well as economics. It also provides the mathematical tools for studying the dynamics of these systems. Boccara takes a carefully inductive approach in defining what it means for a system to be "complex" (and at the same time addresses the equally elusive concept of emergent properties). This is the first text on the subject to draw comprehensive conclusions from such a wide range of analogous phenomena.

Keywords

Cellular automata Chaotic discrete-time models Drossel-Schwabl forest fire model Hutchinson’s time-delay model Kinetic growth phenomena Lotka-Volterra model Power-law distributio agent-based model complex system complex systems ecology modeling

Authors and affiliations

  • Nino Boccara
    • 1
  1. 1.Department of PhysicsUniversity of Illinois-ChicagoChicagoUSA

Bibliographic information

  • DOI https://doi.org/10.1007/b97378
  • Copyright Information Springer-Verlag New York, Inc. 2004
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-40462-2
  • Online ISBN 978-0-387-21646-1
  • Series Print ISSN 0938-037X
  • About this book