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Complex Adaptive Systems : An Introduction to Computational Models of Social Life
by John H. Miller and Scott E. Page

Overview -

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.  Read more...


 
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More About Complex Adaptive Systems by John H. Miller; Scott E. Page
 
 
 
Overview

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.

 
Details
  • ISBN-13: 9780691127026
  • ISBN-10: 0691127026
  • Publisher: Princeton University Press
  • Publish Date: March 2007
  • Page Count: 263

Series: Princeton Studies in Complexity

Related Categories

Books > Science > System Theory
Books > Social Science > Sociology - General

 
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