Complex adaptive systems : an introduction to computational models of social life / John H. Miller and Scott E. Page.
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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Full Text (via ProQuest) |
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| Main Authors: | , |
| Format: | eBook |
| Language: | English |
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Princeton, N.J. :
Princeton University Press,
©2007.
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| Series: | Princeton studies in complexity.
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| Subjects: |
MARC
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| 100 | 1 | |a Miller, John H. |q (John Howard), |d 1959- |e author. | |
| 245 | 1 | 0 | |a Complex adaptive systems : |b an introduction to computational models of social life / |c John H. Miller and Scott E. Page. |
| 260 | |a Princeton, N.J. : |b Princeton University Press, |c ©2007. | ||
| 300 | |a 1 online resource (xix, 263 pages) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent. | ||
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| 347 | |a data file. | ||
| 490 | 1 | |a Princeton studies in complexity. | |
| 504 | |a Includes bibliographical references (pages 255-260) and index. | ||
| 505 | 0 | |a pt. 1. INTRODUCTION. Introduction -- Complexity in social worlds -- pt. 2. PRELIMINARIES. Modeling -- On emergence -- pt. 3. COMPUTATIONAL MODELING. Computation as theory -- Why agent-based objects? -- pt. 4. MODELS OF COMPLEX ADAPTIVE SOCIAL SYSTEMS. A basic framework -- Complex adaptive social systems in one dimension -- Social dynamics -- Evolving automata -- Some fundamentals of organizational decision making -- pt. 5. CONCLUSIONS. Social science in between -- Epilogue -- Appendixes. A. An open agenda for complex adaptive social systems -- B. Practices for computational modeling. | |
| 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. | ||
| 546 | |a English. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Social systems |x Mathematical models. | |
| 650 | 0 | |a Social sciences |x Mathematical models. | |
| 650 | 7 | |a Social sciences |x Mathematical models. |2 fast |0 (OCoLC)fst01122931. | |
| 650 | 7 | |a Social systems |x Mathematical models. |2 fast |0 (OCoLC)fst01123417. | |
| 700 | 1 | |a Page, Scott E., |e author. | |
| 776 | 0 | 8 | |i Print version: |a Miller, John H. (John Howard), 1959- |t Complex adaptive systems. |d Princeton, N.J. : Princeton University Press, ©2007 |z 0691127026 |w (DLC) 2006933230 |w (OCoLC)122412139. |
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| 952 | f | f | |p Can circulate |a University of Colorado Boulder |b Online |c Online |d Online |e H61.25 .M55 2007 |h Library of Congress classification |i web |n 1 |