Complex Adaptive Systems : : An Introduction to Computational Models of Social Life / / Scott Page, John H. Miller.

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 challen...

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Superior document:Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013
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Place / Publishing House:Princeton, NJ : : Princeton University Press, , [2009]
©2007
Year of Publication:2009
Edition:Course Book
Language:English
Series:Princeton Studies in Complexity ; 17
Online Access:
Physical Description:1 online resource (288 p.) :; 18 halftones. 16 line illus. 42 tables.
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245 1 0 |a Complex Adaptive Systems :  |b An Introduction to Computational Models of Social Life /  |c Scott Page, John H. Miller. 
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264 1 |a Princeton, NJ :   |b Princeton University Press,   |c [2009] 
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300 |a 1 online resource (288 p.) :  |b 18 halftones. 16 line illus. 42 tables. 
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490 0 |a Princeton Studies in Complexity ;  |v 17 
505 0 0 |t Frontmatter --   |t Contents --   |t Figures --   |t Tables --   |t Preface --   |t Part I. Introduction --   |t Part II. Preliminaries --   |t Part III. Computational Modeling --   |t Part IV. Models of Complex Adaptive Social Systems --   |t Part V. Conclusions --   |t Appendix A. An Open Agenda for Complex Adaptive Social Systems --   |t Appendix B. Practices for Computational Modeling --   |t Bibliography --   |t Index 
506 0 |a restricted access  |u http://purl.org/coar/access_right/c_16ec  |f online access with authorization  |2 star 
520 |a 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. 
530 |a Issued also in print. 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) 
650 0 |a Sciences sociales  |x Modèles mathématiques. 
650 0 |a Social sciences  |x Mathematical models. 
650 0 |a Social systems  |x Mathematical models. 
650 0 |a Systèmes sociaux  |x Modèles mathématiques. 
650 7 |a SOCIAL SCIENCE / General.  |2 bisacsh 
700 1 |a Page, Scott,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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