Complex Adaptive Systems: An Introduction to Computational Models of Social Life: An Introduction to Computational Models of Social Life (Google eBook)

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Princeton University Press, Nov 28, 2009 - Social Science - 288 pages
25 Reviews

This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents.

John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.

  

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Review: Complex Adaptive Systems: An Introduction to Computational Models of Social Life

User Review  - Goodreads

Brilliant introduction to the model of complex adaptive systems as applied to social organizations. A must read for social scientists who are interested in the application of the complex adaptive systems model to their own interests. Read full review

Review: Complex Adaptive Systems: An Introduction to Computational Models of Social Life

User Review  - John - Goodreads

Brilliant introduction to the model of complex adaptive systems as applied to social organizations. A must read for social scientists who are interested in the application of the complex adaptive systems model to their own interests. Read full review

Contents

Introduction
3
Figures
5
Complexity in Social Worlds
9
Preliminaries
33
On Emergence
44
Computational Modeling
55
Tables
61
Why AgentBased Objects?
78
When Does Adaptation Lead to Optimization and Equilibrium?
241
How Important Is Communication to Complex Adaptive Social Systems?
242
How Do Decentralized Markets Equilibrate?
243
What Are the Origins of Social Life?
244
B Practices for Computational Modeling
245
Keep the Model Simple
246
The Old Computer Test
247
Nest Your Models
248

Models of Complex Adaptive
91
Complex Adaptive Social Systems in One Dimension
114
Social Dynamics
141
Evolving Automata
178
Some Fundamentals of Organizational Decision Making
200
Social Science in Between
213
Epilogue
227
How Sophisticated Must Agents Be Before They Are Interesting?
239
What Are the Equivalence Classes of Adaptive Behavior?
240
Construct Flexible Frameworks
249
Check the Parameters
250
Know the Source of Random Numbers
251
Avoid False Precision
252
Distribute Your Code
253
Reward the Right Things
254
Bibliography
255
Index
261
Copyright

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About the author (2009)

John H. Miller is professor of economics and social sciences at Carnegie Mellon University. Scott E. Page is professor of complex systems, political science, and economics at the University of Michigan. He is the author of "The Difference" (Princeton).

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