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

Front Cover
John Howard Miller, Scott E. Page
Princeton University Press, 2007 - Mathematics - 263 pages
8 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  - 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

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

User Review  - Robin Berjon-berthezčne - Goodreads

It's not a bad book, but it's a very slow introduction to the topic, primarily aimed as social scientists. I wouldn't recommend it to anyone who can grasp computer-related topics quickly. Read full review

About the author (2007)

John H. Miller is Professor of Economics and Social Sciences at Carnegie Mellon University.

Scott E. Page is Associate Professor of Political Science, Complex Systems, and Economics at the University of Michigan.

Bibliographic information