| Description |
1 online resource (xix, 263 pages) : illustrations. |
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text file |
| Series |
Princeton studies in complexity.
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Princeton studies in complexity.
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| Bibliography |
Includes bibliographical references (pages 255-260) and index. |
| Contents |
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. |
| Access |
Use copy Restrictions unspecified MiAaHDL |
| Reproduction |
Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2010. MiAaHDL |
| System Details |
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL |
| Processing Action |
digitized 2010 HathiTrust Digital Library committed to preserve MiAaHDL |
| Summary |
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. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Social systems -- Mathematical models.
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Social systems -- Mathematical models. |
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Social systems. |
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Social sciences -- Mathematical models.
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Social sciences -- Mathematical models. |
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Ciências sociais (modelos matemáticos)
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| Genre/Form |
Aufsatzsammlung.
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| Subject |
Modelli matematici -- applicazioni.
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| Genre/Form |
Electronic books.
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| Subject |
Scienze sociali -- modelli matematici.
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| Added Author |
Page, Scott E., author.
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| Other Form: |
Print version: Miller, John H. (John Howard), 1959- Complex adaptive systems. Princeton, N.J. : Princeton University Press, ©2007 0691127026 (DLC) 2006933230 (OCoLC)122412139 |
| ISBN |
9781400835522 (electronic book) |
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1400835526 (electronic book) |
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1282458116 |
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9781282458116 |
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0691127026 (paperback ; acid-free paper) |
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9780691127026 (paperback ; acid-free paper) |
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0691130965 (acid-free paper) |
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9780691130965 (acid-free paper) |
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