Complexity, Politics and Public Policy

نویسنده

  • Euel Elliott
چکیده

This paper explores the meaning and role of emerging insights from the sciences of complexity in the study of politics and public policy. Considerable attention is devoted to the relevance of Complex Adaptive Systems (CAS) to understanding important phenomena in politics and the realm of public policy. While traditional approaches to the study of these areas are not without merit, an understanding of CAS can yield important methodological and substantive insights. This paper discusses the advantages that simulations utilizing agent-based modeling offer for researchers. Several characteristics of CAS are also explored that can help us gain a better understanding of political and related phenomena. These characteristics include self-organization, positive feedback and path dependence. Examples are used to illustrate the applications of these facets of CAS to politics and policy.

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تاریخ انتشار 2011