Inferring individual rules from collective behavior

Proceedings of the National Academy of Sciences of the United States of America - Tập 107 Số 28 - Trang 12576-12580 - 2010
Ryan Lukeman1, Yuexian Li2, Leah Edelstein‐Keshet2
1Department of Mathematics, Statistics, and Computer Science, St. Francis Xavier University, Antigonish, NS, Canada B2G 2W5; and
2Department of Mathematics, University of British Columbia, Vancouver, BC, Canada V6T 1Z2

Tóm tắt

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 well-spaced 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, intermediate-range 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.

Từ khóa


Tài liệu tham khảo

10.1126/science.284.5411.99

10.1103/PhysRevLett.75.1226

10.1016/S0378-4371(98)00468-3

10.1103/PhysRevE.63.017101

10.2142/biophys.13.82

10.1016/S0022-5193(05)80681-2

10.1006/jtbi.1996.0144

10.1006/jtbi.2002.3065

10.1038/nature03236

10.1038/nature08891

10.1016/0003-3472(65)90117-X

10.1007/BF00354974

10.2307/4088194

10.1007/BF02514077

10.1007/BF00395444

10.1126/science.1125142

10.1016/j.cub.2008.04.035

10.1073/pnas.0711437105

D Grunbaum, S Viscido, J Parrish, Extracting interactive control algorithms from group dynamics of schooling fish. Coop Control LNCIS 309, 103–117 (2004).

10.3354/meps273239

10.1016/j.ecolmodel.2004.08.019

10.1162/106454603322392451

10.1093/beheco/arh149

J Tien, S Levin, D Rubenstein, Dynamics of fish shoals: Identifying key decision rules. Evol Ecol Res 6, 555–565 (2004).

J-P Savard, D Bordage, A Reed, Surf Scoter (Melanitta perspicillata). The Birds of North America No. 363, eds A Poole, F Gill (Birds of N Am, Philadelphia, 1998).

10.1139/z85-372

10.2307/4088156

10.1016/0003-3472(79)90185-4

A Okubo Diffusion and Ecological Problems: Mathematical Models (Springer, New York, 1980).

10.1016/S0022-5193(05)80441-2

10.1007/s00285-003-0209-7

10.1103/PhysRevLett.96.104302

10.1038/scientificamerican0682-114

10.1007/BF00292770

10.1016/j.anbehav.2008.02.004

Thông tin
Thông tin xuất bản

Proceedings of the National Academy of Sciences of the United States of America

Tập 107 Số 28

12576-12580

Thông tin tác giả