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Princeton Studies in Complexity Ser.: Complex Adaptive Systems : An Introduction to Computational Models of Social Life by Scott Page and John H. Miller (2007, Trade Paperback)

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Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Paperback or Softback). Condition Guide. ISBN: 9780691127026. Your source for quality books at reduced prices. Publication Date: 3/1/2007.

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item 1 Complex Adaptive Systems: An Introduction - Paperback, by Miller John H.; - Good
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item 2 Complex Adaptive Systems: An Introduction to Computational Models of Social Life
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item 3 Complex Adaptive Systems: An Introduction... by Page, Scott Paperback / softback
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item 4 Complex Adaptive Systems: An Introduction... by Page, Scott Paperback / softback
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item 5 Princeton Studies in Complexity Series.: Complex Adaptive Systems PB/2007 EXC
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About this product

Product Identifiers

Publisher
Princeton University Press
ISBN-10
0691127026
ISBN-13
9780691127026
eBay Product ID (ePID)
59041015

Product Key Features

Number of Pages
284 Pages
Publication Name
Complex Adaptive Systems : an Introduction to Computational Models of Social Life
Language
English
Publication Year
2007
Subject
General, System Theory, Applied, Organizational Development
Type
Textbook
Subject Area
Mathematics, Philosophy, Social Science, Science, Business & Economics
Author
Scott Page, John H. Miller
Series
Princeton Studies in Complexity Ser.
Format
Trade Paperback

Dimensions

Item Height
0.6 in
Item Weight
14 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
College Audience
LCCN
2006-933230
Dewey Edition
22
Reviews
"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, "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, "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
Series Volume Number
14
Illustrated
Yes
Dewey Decimal
305.0151
Synopsis
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., 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.
LC Classification Number
H

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