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Efficient System-Wide Coordination in Noisy Environments
André A. Moreira, Abhishek Mathur, Daniel Diermeier, Luis A. N. Amaral and Richard M. Karp
Proceedings of the National Academy of Sciences of the United States of America
Vol. 101, No. 33 (Aug. 17, 2004), pp. 12085-12090
Published by: National Academy of Sciences
Stable URL: http://www.jstor.org/stable/3373094
Page Count: 6
You can always find the topics here!Topics: Majority rule, Topology, Neighborhoods, Economic coordination mechanisms, Noise intensity, Heuristics, Information classification, Signal noise, Animals, Coordination chemistry
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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.
Proceedings of the National Academy of Sciences of the United States of America © 2004 National Academy of Sciences