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Social Science in Between, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life
[Complex Adaptive Systems: An Introduction to Computational Models of Social Life]

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Author Info

  • John H. Miller

    (Carnegie Mellon University)

  • Scott E. Page

    (University of Michigan)

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    Abstract

    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.

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    Bibliographic Info

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    This chapter was published in: John H. Miller & Scott E. Page , , pages , 2007.

    This item is provided by Princeton University Press in its series Introductory Chapters with number 8429-12.

    Handle: RePEc:pup:chapts:8429-12

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    Web page: http://press.princeton.edu

    Related research

    Keywords: emergence; self-organized criticality; automata; networks; diversity; adaptation; feedback; organization; robustness;

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    Cited by:
    1. Verónica Amarante & Ivone Perazzo, 2011. "Cantidad de niños en los hogares uruguayos: un análisis de los determinantes económicos, 1996-2006," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 26(1), pages 3-34.
    2. S. Gualdi & M. Medo & Y.-C. Zhang, 2011. "Self-organized model of cascade spreading," The European Physical Journal B - Condensed Matter and Complex Systems, Springer, vol. 79(1), pages 91-98, January.
    3. G. Cimini & M. Medo & T. Zhou & D. Wei & Y.-C. Zhang, 2011. "Heterogeneity, quality, and reputation in an adaptive recommendation model," The European Physical Journal B - Condensed Matter and Complex Systems, Springer, vol. 80(2), pages 201-208, March.
    4. Levent Yilmaz, 2011. "Toward Multi-Level, Multi-Theoretical Model Portfolios for Scientific Enterprise Workforce Dynamics," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(4), pages 2.
    5. Gonzalo Castañeda, 2010. "Crisis económicas y cambios de paradigma," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 25(2), pages 425-441.

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