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

Paperback / softback

Main Details

Title Complex Adaptive Systems: An Introduction to Computational Models of Social Life
Authors and Contributors      By (author) John H. Miller
By (author) Scott Page
SeriesPrinceton Studies in Complexity
Physical Properties
Format:Paperback / softback
Pages:288
Dimensions(mm): Height 235,Width 152
ISBN/Barcode 9780691127026
ClassificationsDewey:302.35072
Audience
Professional & Vocational
Tertiary Education (US: College)
Illustrations 18 halftones. 16 line illus. 42 tables.

Publishing Details

Publisher Princeton University Press
Imprint Princeton University Press
Publication Date 25 March 2007
Publication Country United States

Description

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.

Author Biography

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

"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 of the complex systems approach to the embarking researcher."-Kenneth J. Arrow, winner of the Nobel Prize in economics "In Complex Adaptive Systems, two masters of this burgeoning field provide a highly readable and novel restatement of the logic of social interactions, linking individually based micro processes to macrosocial outcomes, ranging from Adam Smith's invisible hand to Thomas Schelling's models of standing ovations. The book combines the vision of a new Santa Fe school of computational, social, and behavioral science with essential 'how to' advice for apprentice modelers."-Samuel Bowles, author of Microeconomics: Behavior, Institutions, Evolution "This is a wonderful book that will be read by graduate students, faculty, and policymakers. The authors write in an extraordinarily clear manner about topics that are very technical and difficult for many people. I sat down to begin thumbing through and found myself deeply engaged."-Elinor Ostrom, author of Understanding Institutional Diversity