Complex adaptive systems : an introduction to computational models of social life / John H. Miller and Scott E. Page
Tipo de material:
TextoSeries Detalles de publicación: Princeton, N.J. : Princeton University Press, c2007Descripción: xix, 263 p. : il. ; 24 cmISBN: - 0691127026 (pbk.: acid-free paper)
- 9780691127026 (pbk.: acid-free paper)
- 0691130965 (acid-free paper)
- 9780691130965 (acid-free paper)
- H61.25 M6471
| Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Signatura topográfica | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | |
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Libros para consulta en sala
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Biblioteca Antonio Enriquez Savignac | Biblioteca Antonio Enriquez Savignac | COLECCIÓN RESERVA | H61.25 M6471 (Navegar estantería(Abre debajo)) | 1 | Tránsito | Desarrollo Humano | 019272 |
Incluye referencias bibliográficas: p. [255]-260 e índice
Introduction -- Introduction -- Complexity in Social Worlds -- Preliminaries -- Modeling -- On Emergence -- Computational Modeling -- Computation as Theory -- Why Agent-Based Objects? -- Why Agent-Based Objects? -- A Basic Framework -- Complex Adaptive Social Systems in One Dimension -- Social Dynamics -- Evolving Automata -- Some Fundamentals of Organizational Decision Making -- Conclusions --
"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."--Descripción de la editorial
Fondos de la Universidad Compra 090603 434.28
