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非合作优化容差:复杂系统中的分散战略优化。

Noncooperatively optimized tolerance: decentralized strategic optimization in complex systems.

机构信息

Sandia National Laboratories, Post Office Box 969, Livermore, California 94551-0969, USA.

出版信息

Phys Rev Lett. 2011 Sep 2;107(10):108702. doi: 10.1103/PhysRevLett.107.108702. Epub 2011 Sep 1.

DOI:10.1103/PhysRevLett.107.108702
PMID:21981540
Abstract

We introduce noncooperatively optimized tolerance (NOT), a game theoretic generalization of highly optimized tolerance (HOT), which we illustrate in the forest fire framework. As the number of players increases, NOT retains features of HOT, such as robustness and self-dissimilar landscapes, but also develops features of self-organized criticality. The system retains considerable robustness even as it becomes fractured, due in part to emergent cooperation between players, and at the same time exhibits increasing resilience against changes in the environment, giving rise to intermediate regimes where the system is robust to a particular distribution of adverse events, yet not very fragile to changes.

摘要

我们介绍了非合作优化容忍度(NOT),这是高度优化容忍度(HOT)的博弈论推广,我们在森林火灾框架中对此进行了说明。随着玩家数量的增加,NOT 保留了 HOT 的特征,例如鲁棒性和自相似景观,但也发展出了自组织临界性的特征。由于玩家之间出现了新的合作,系统即使变得支离破碎也保留了相当大的鲁棒性,同时对环境变化的恢复能力也在增强,从而出现了中间状态,即系统对特定分布的不利事件具有鲁棒性,但对变化的脆弱性也不高。

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