Adaptive-network models of swarm dynamics

Details Adaptive-network models of swarm dynamics Adaptive-network models of swarm dynamics

2010-09-13

arxiv.org/abs/1009.2349v3

New J. Phys. 13 (2011), 073022

Physics

Condensed Matter

Disordered Systems and Neural Networks

8 pages, 3 figures

Scientific paper

10.1088/1367-2630/13/7/073022

We propose a simple adaptive-network model describing recent swarming experiments. Exploiting an analogy with human decision making, we capture the dynamics of the model by a low-dimensional system of equations permitting analytical investigation. We find that the model reproduces several characteristic features of swarms, including spontaneous symmetry breaking, noise- and density-driven order-disorder transitions that can be of first or second order, and intermittency. Reproducing these experimental observations using a non-spatial model suggests that spatial geometry may have a lesser impact on collective motion than previously thought.

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