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SOE: Fachverband Physik sozio-ökonomischer Systeme
SOE 11: Poster Session
SOE 11.2: Poster
Tuesday, March 15, 2011, 18:05–18:45, P2
Adaptive network models of swarm dynamics — Cristián Huepe1, •Gerd Zschaler2, Anne-Ly Do2, and Thilo Gross2 — 1unaffiliated, C. Huepe Labs Inc., Chicago — 2Max-Planck-Institut für Physik komplexer Systeme, Dresden
A simple adaptive network model describing recent swarming experiments is introduced. By exploiting an analogy with human decision-making models, its dynamics is captured using a low-dimensional system of equations permitting analytical investigation. 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, intermittency, and metastable configurations displaying memory effects. By considering only minimal components of the swarming dynamics, it highlights the essential elements required to reproduce the observed behavior.