In this Book

buy this book Buy This Book in Print
summary
Chaos Theory in the Social Sciences: Foundations and Applications offers the most recent thinking in applying the chaos paradigm to the social sciences. The book explores the methodological techniques--and their difficulties--for determining whether chaotic processes may in fact exist in a particular instance and examines implications of chaos theory when applied specifically to political science, economics, and sociology. The contributors to the book show that no single technique can be used to diagnose and describe all chaotic processes and identify the strengths and limitations of a variety of approaches.
The essays in this volume consider the application of chaos theory to such diverse phenomena as public opinion, the behavior of states in the international arena, the development of rational economic expectations, and long waves.
Contributors include Brian J. L. Berry, Thad Brown, Kenyon B. DeGreene, Dimitrios Dendrinos, Euel Elliott, David Harvey, L. Ted Jaditz, Douglas Kiel, Heja Kim, Michael McBurnett, Michael Reed, Diana Richards, J. Barkley Rosser, Jr., and Alvin M. Saperstein.
L. Douglas Kiel and Euel W. Elliott are both Associate Professors of Government, Politics, and Political Economy, University of Texas at Dallas.

Table of Contents

restricted access Download Full Book
  1. Cover
  2. restricted access
    • Download PDF Download
  1. Frontmatter
  2. restricted access
    • Download PDF Download
  1. Contents
  2. pp. vii-viii
  3. restricted access
    • Download PDF Download
  1. Introduction
  2. pp. 1-15
  3. restricted access
    • Download PDF Download
  1. Part 1: Chaotic Dynamics in Social Science Data
  1. 1. Exploring Nonlinear Dynamics with a Spreadsheet: A Graphical View of Chaos for Beginners
  2. pp. 19-29
  3. restricted access
    • Download PDF Download
  1. 2. Probing the Underlying Structure in Dynamical Systems: An Introduction to Spectral Analysis
  2. pp. 31-51
  3. restricted access
    • Download PDF Download
  1. 3. Measuring Chaos Using the Lyapunov Exponent
  2. pp. 53-66
  3. restricted access
    • Download PDF Download
  1. 4. The Prediction Test for Nonlinear Determinism
  2. pp. 67-88
  3. restricted access
    • Download PDF Download
  1. 5. From Individuals to Groups: The Aggregation of Votes and Chaotic Dynamics
  2. pp. 89-116
  3. restricted access
    • Download PDF Download
  1. Part 2: Chaos Theory and Political Science
  1. 6. Nonlinear Politics
  2. pp. 119-137
  3. restricted access
    • Download PDF Download
  1. 7. The Prediction of Unpredictability: Applications of the New Paradigm of Chaos in Dynamical Systems to the Old Problem of the Stability of a System of Hostile Nations
  2. pp. 139-163
  3. restricted access
    • Download PDF Download
  1. 8. Complexity in the Evolution of Public Opinion
  2. pp. 165-196
  3. restricted access
    • Download PDF Download
  1. Part 3: Chaos Theory and Economics
  1. 9. Chaos Theory and Rationality in Economics
  2. pp. 199-213
  3. restricted access
    • Download PDF Download
  1. 10. Long Waves 1790–1990: Intermittency, Chaos, and Control
  2. pp. 215-236
  3. restricted access
    • Download PDF Download
  1. 11. Cities as Spatial Chaotic Attractors
  2. pp. 237-269
  3. restricted access
    • Download PDF Download
  1. Part 4: Implications for Social Systems Management and Social Science
  1. 12. Field-Theoretic Framework for the Interpretation of the Evolution, Instability, Structural Change, and Management of Complex Systems
  2. pp. 273-294
  3. restricted access
    • Download PDF Download
  1. 13. Social Science as the Study of Complex Systems
  2. pp. 295-323
  3. restricted access
    • Download PDF Download
  1. References
  2. pp. 325-345
  3. restricted access
    • Download PDF Download
  1. Contributors
  2. pp. 347-349
  3. restricted access
    • Download PDF Download
Back To Top

This website uses cookies to ensure you get the best experience on our website. Without cookies your experience may not be seamless.