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File:
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[pdf]
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Title:
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The Standing Ovation Problem
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Author:
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John H. Miller and Scott E. Page
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Key Words:
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Standing Ovation Problem, Computational Modeling
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Abstract:
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Over the last decade, research topics such as learning, heterogeneity,
networks, diffusion, and externalities, have moved from the fringe to
the frontier in the social sciences. In large part this new research
agenda has been driven by key tools and ideas emerging from the study
of complex adaptive systems. Research is often inspired by simple
models that provide a rich domain from which to explore the world.
Indeed, in complex systems, Bak's (1996) sand pile, Arthur's (1994) El
Farol bar, and Kauffman's (1989) NK system have provided such
inspirations. Here we introduce another model that offers similar
potential---the Standing Ovation Problem (SOP). This model is
especially appropriate given the focus of this special issue on
complex adaptive social systems. The SOP has much to offer as it (1)
is easily explained and part of everyone's common experience; (2)
simultaneously emphasizes some of the key themes that arise in social
systems, such as learning, heterogeneity, incentives, and networks;
and (3) is amenable to research efforts across a variety of fields.
These features make it an ideal platform from which to explore the
power, promise, and pitfalls of complexity modeling in the social
sciences.
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