文章基本信息

标题：Efficient system-wide coordination in noisy environments
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作者：André A. Moreira ; Abhishek Mathur ; Daniel Diermeier 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2004
卷号：101
期号：33
页码：12085-12090
DOI：10.1073/pnas.0400672101
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：Many natural and social systems display global organization and coordination without centralized control. The origin of this global coordination is a topic of great current interest. Here we investigate a density-classification task as a model system for coordination and information processing in decentralized systems. We show that sophisticated strategies, selected under idealized conditions, are not robust to environmental changes. We also demonstrate that a simple heuristic is able to successfully complete the classification task under a broad range of environmental conditions. Our findings hint at the possibility that complex networks and ecologically efficient rules coevolve over time.