Description: Complex Adaptive Systems by John H. Miller, Scott Page Estimated delivery 4-14 business days Format Paperback Condition Brand New Description Provides an account of complex adaptive social systems, by two of the fields 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. Publisher Description 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. 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). Details ISBN 0691127026 ISBN-13 9780691127026 Title Complex Adaptive Systems Author John H. Miller, Scott Page Format Paperback Year 2007 Pages 284 Publisher Princeton University Press GE_Item_ID:14692570; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 49.88 USD
Location: Calgary, Alberta
End Time: 2024-12-05T15:07:34.000Z
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ISBN-13: 9780691127026
Book Title: Complex Adaptive Systems
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