Literature DB >> 21800229

A continuum three-zone model for swarms.

Jennifer M Miller1, Allison Kolpas, Joao Plinio Juchem Neto, Louis F Rossi.   

Abstract

We present a progression of three distinct three-zone, continuum models for swarm behavior based on social interactions with neighbors in order to explain simple coherent structures in popular biological models of aggregations. In continuum models, individuals are replaced with density and velocity functions. Individual behavior is modeled with convolutions acting within three interaction zones corresponding to repulsion, orientation, and attraction, respectively. We begin with a variable-speed first-order model in which the velocity depends directly on the interactions. Next, we present a variable-speed second-order model. Finally, we present a constant-speed second-order model that is coordinated with popular individual-based models. For all three models, linear stability analysis shows that the growth or decay of perturbations in an infinite, uniform swarm depends on the strength of attraction relative to repulsion and orientation. We verify that the continuum models predict the behavior of a swarm of individuals by comparing the linear stability results with an individual-based model that uses the same social interaction kernels. In some unstable regimes, we observe that the uniform state will evolve toward a radially symmetric attractor with a variable density. In other unstable regimes, we observe an incoherent swarming state.

Mesh:

Year:  2011        PMID: 21800229     DOI: 10.1007/s11538-011-9676-y

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  4 in total

1.  Quantifying and tracing information cascades in swarms.

Authors:  X Rosalind Wang; Jennifer M Miller; Joseph T Lizier; Mikhail Prokopenko; Louis F Rossi
Journal:  PLoS One       Date:  2012-07-12       Impact factor: 3.240

2.  Modelling collective motion based on the principle of agency: General framework and the case of marching locusts.

Authors:  Katja Ried; Thomas Müller; Hans J Briegel
Journal:  PLoS One       Date:  2019-02-20       Impact factor: 3.240

3.  Examination of an averaging method for estimating repulsion and attraction interactions in moving groups.

Authors:  Rajnesh K Mudaliar; Timothy M Schaerf
Journal:  PLoS One       Date:  2020-12-09       Impact factor: 3.240

4.  Direction-dependent interaction rules enrich pattern formation in an individual-based model of collective behavior.

Authors:  Cole Zmurchok; Gerda de Vries
Journal:  PLoS One       Date:  2018-06-14       Impact factor: 3.240

  4 in total

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