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Optimal design, robustness, and risk aversion.

作者信息

Newman M E J, Girvan Michelle, Farmer J Doyne

机构信息

Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, New Mexico 87501, USA.

出版信息

Phys Rev Lett. 2002 Jul 8;89(2):028301. doi: 10.1103/PhysRevLett.89.028301. Epub 2002 Jun 21.

DOI:10.1103/PhysRevLett.89.028301
PMID:12097019
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 catastrophically large events is dramatically lowered, giving the system more robustness.

摘要

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