Collective behavior of interacting self-propelled particles

By András Czirók, Tamás Vicsek. 2000

349 citations recorded by the source corpus.

We discuss biologically inspired, inherently non-equilibrium models of self-propelled particles, in which the particles interact with their neighbors by choosing at each time step the local average direction of motion. We summarize some of the results of large-scale simulations and theoretical approaches about the effects of noise and dimensionality on the scaling behavior of such systems.

Subfields: Computer Networks and Communications, Condensed Matter Physics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/cf5292442b26d945271e54bdbceae57044eaa297

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In Computer Networks and Communications

In Condensed Matter Physics

In Molecular Biology

Citations in the corpus

Active Particles in Complex and Crowded Environments (2016, methodology): “propelling particles that move with a constant speed but tend to align with the average direction of motion of the particles in their local neighborhood (Chaté et al., 2008a; Czirók and Vicsek, 2000).”
Stability analysis of social foraging swarms (2004, background): “In parallel to the mathematical biologists there are a number of physicists who have done important work on swarming behavior [15], [16], [17], [18], [19], [20].”
Meso-scale turbulence in living fluids (2012, background): “However, in spite of recent progress (19, 23–25), the phenomenology of turbulent bacterial dynamics is scarcely understood and a commonly accepted theoretical description is lacking (2, 16, 26).”
Scale-free correlations in starling flocks (2009, background): “ns in flocks are scale-free seems to be consistent with some theoretical and numerical studies performed in self-propelled particle systems, where the correlation function was found to be a power law [3,4]. The comparison, however, is not straightforward. First, the theoretical studies of [3,4] were”
The principles of collective animal behaviour (2006, background): “How do you do an experiment to test a hypothesized model for the growth of Napoleonic empires?”
Stability analysis of swarms (2002, background): “In parallel to the mathematical biologists there are a number of physicists who have done important work on swarming behavior [6], [7], [8], [9], [10], [11].”