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Complex Adaptive Systems: An Introduction to Computational Models of Social Life
John H. Miller
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Description for Complex Adaptive Systems: An Introduction to Computational Models of Social Life
Paperback. Provides an account of complex adaptive social systems, by two of the field's leading authorities. This work 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 also demonstrates how the usual extremes used in modeling can be fruitfully transcended. Series: Princeton Studies in Complexity. Num Pages: 288 pages, 18 halftones. 16 line illus. 42 tables. BIC Classification: JHBC; PBWS. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 233 x 155 x 17. Weight in Grams: 434.
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. ... Read more
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. ... Read more
Product Details
Publisher
Princeton University Press United States
Number of pages
288
Format
Paperback
Publication date
2007
Series
Princeton Studies in Complexity
Condition
New
Number of Pages
284
Place of Publication
New Jersey, United States
ISBN
9780691127026
SKU
V9780691127026
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About John H. Miller
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).
Reviews for Complex Adaptive Systems: An Introduction to Computational Models of Social Life
"The use of computational, especially agent-based, models has already shown its value in illuminating the study of economic and other social processes. Miller and Page have written an orientation to this field that is a model of motivation and insight, making clear the underlying thinking and illustrating it by varied and thoughtful examples. It conveys with remarkable clarity the essentials ... Read more