Literature DB >> 19391779

Transitions in a self-propelled-particles model with coupling of accelerations.

Péter Szabó1, Máté Nagy, Tamás Vicsek.   

Abstract

We consider a three-dimensional, generalized version of the original self-propelled-particles (SPP) model for collective motion. By extending the factors influencing the ordering, we investigate the case when the movement of the SPPs depends on both the velocity and the acceleration of the neighboring particles, instead of being determined solely by the former one. By changing the value of a weight parameter s determining the relative influence of the velocity and the acceleration terms, the system undergoes a kinetic phase transition as a function of a behavioral pattern. Below a critical value of s the system exhibits disordered motion, while above it the dynamics resembles that of the SPP model. We show that the critical value of the strategy variable could correspond to an evolutionary optimum in the sense that the information exchange between the units of the system is maximal in this point.

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Mesh:

Year:  2009        PMID: 19391779     DOI: 10.1103/PhysRevE.79.021908

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  4 in total

Review 1.  From behavioural analyses to models of collective motion in fish schools.

Authors:  Ugo Lopez; Jacques Gautrais; Iain D Couzin; Guy Theraulaz
Journal:  Interface Focus       Date:  2012-10-03       Impact factor: 3.906

2.  Information transfer and behavioural inertia in starling flocks.

Authors:  Alessandro Attanasi; Andrea Cavagna; Lorenzo Del Castello; Irene Giardina; Tomas S Grigera; Asja Jelić; Stefania Melillo; Leonardo Parisi; Oliver Pohl; Edward Shen; Massimiliano Viale
Journal:  Nat Phys       Date:  2014-09-01       Impact factor: 20.034

3.  Collective motion of mammalian cell cohorts in 3D.

Authors:  Yasha Sharma; Diego A Vargas; Adrian F Pegoraro; David Lepzelter; David A Weitz; Muhammad H Zaman
Journal:  Integr Biol (Camb)       Date:  2015-11-09       Impact factor: 2.192

4.  Fluctuation-driven flocking movement in three dimensions and scale-free correlation.

Authors:  Takayuki Niizato; Yukio-Pegio Gunji
Journal:  PLoS One       Date:  2012-05-25       Impact factor: 3.240

  4 in total

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