Inferring individual rules from collective behavior

Lukeman R.; Li Y.-X.; Edelstein-Keshet L.

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Inferring individual rules from collective behavior

机译：Inferring individual rules from collective behavior

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Social organisms form striking aggregation patterns, displaying cohesion, polarization, and collective intelligence. Determining how they do so in nature is challenging; a plethora of simulation studies displaying life-like swarm behavior lack rigorous comparison with actual data because collecting field data of sufficient quality has been a bottleneck. Here, we bridge this gap by gathering and analyzing a high-quality dataset of flocking surf scoters, forming wellspaced groups of hundreds of individuals on the water surface. By reconstructing each individual's position, velocity, and trajectory,we generate spatial and angular neighbor-distribution plots, revealing distinct concentric structure in positioning, a preference for neighbors directly in front, and strong alignment with neighbors on each side.We fit data to zonal interaction models and characterize which individual interaction forces suffice to explain observed spatial patterns. Results point to strong short-range repulsion, intermediaterange alignment, and longer-range attraction (with circular zones), as well as a weak but significant frontal-sector interaction with one neighbor. A best-fit model with such interactions accounts well for observed group structure, whereas absence or alteration in any one of these rules fails to do so. We find that important features of observed flocking surf scoters can be accounted for by zonal models with specific, well-defined rules of interaction.

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《Proceedings of the National Academy of Sciences of the United States of America》 |2010年第28期|12576-12580|共5页
作者
Lukeman R.; Li Y.-X.; Edelstein-Keshet L.;
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作者单位

Department of Mathematics, University of British Columbia, Vancouver, BC V6T 1Z2, Canada;

Department of Mathematics, Statistics, and Computer Science, St. Francis Xavier University, Antigonish, NS B2G 2W5, Canada;

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收录信息美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
原文格式 PDF
正文语种英语
中图分类自然科学总论;
关键词
Animal groups; Flocking; Individual tracking; Model/data; Surf scoters;

Inferring individual rules from collective behavior

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