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Optimal Design, Robustness, and Risk Aversion

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Author Info
M. E. J. Newman
Michelle Girvan
J. Doyne Farmer
Abstract

Highly optimized tolerance is a model of optimization in engineered systems, which gives rise to power-law distributions of failure events in such systems. The archetypal example is the highly optimized forest fire model. Here we give an analytic solution for this model which explains the origin of the power laws. We also generalize the model to incorporate risk aversion, which results in truncation of the tails of the power law so that the probability of disastrously large events is dramatically lowered, giving the system more robustness.

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Publisher Info
Paper provided by Santa Fe Institute in its series Working Papers with number 02-02-009.

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Date of creation: Feb 2002
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Handle: RePEc:wop:safiwp:02-02-009

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Related research
Keywords: Optimization power laws designed systems self-organization robustness

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