Description: Complex Adaptive Systems : An Introduction to Computational Models of Social Life, Paperback by Miller, John H.; Page, Scott E., ISBN 0691127026, ISBN-13 9780691127026, Brand New, Free shipping in the US
This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the fields 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.
Price: 46.61 USD
Location: Jessup, Maryland
End Time: 2024-12-01T07:48:16.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Complex Adaptive Systems : An Introduction to Computational Model
Number of Pages: 284 Pages
Publication Name: Complex Adaptive Systems : an Introduction to Computational Models of Social Life
Language: English
Publisher: Princeton University Press
Subject: General, System Theory, Applied, Organizational Development
Item Height: 0.6 in
Publication Year: 2007
Item Weight: 14 Oz
Type: Textbook
Author: Scott Page, John H. Miller
Subject Area: Mathematics, Philosophy, Social Science, Science, Business & Economics
Item Length: 9.3 in
Item Width: 6.1 in
Series: Princeton Studies in Complexity Ser.
Format: Trade Paperback
![An Introduction to Genetic Algorithms [Complex Adaptive Systems]](https://i.ebayimg.com/images/g/TI4AAOSwOgdYoDVu/s-l600.webp)
