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Article overview
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Flocking and spreading dynamics in populations of self-propelled agents | | Demian Levis
; Albert Diaz-Guilera
; Ignacio Pagonabarraga
; Michele Starnini
; | | Date: |
25 Jan 2019 | | Abstract: | Populations of self-propelled mobile agents - animal groups, robot swarms or
crowds of people - that exchange information with their surrounding, host
fascinating cooperative behaviors. While in many situations of interest the
agents motion is driven by the transmission of information (e.g. the presence
of an approaching predator) from neighboring peers, previous modeling efforts
have focused on situations where agents either sit on static networks, or move
independently of the information spreading across the population. Here, we
introduce a reference model to tackle this current lack of general framework.
We consider mobile agents which align their direction of motion (based on the
Kuramoto dynamics) and carry an internal state governed by the
Susceptible-Infected-Susceptible (SIS) epidemic process, characterizing the
spread of information in the population, and affecting the way agents move in
space. We show that the feedback between the agents motion and information
spreading is responsible for (i) the enhancement of both flocking and
information spreading, (ii) the emergence of complex spatial structures, or
swarms, which can be controlled by the velocity of the agents. The SIS dynamics
is able to drive a flocking phase transition even in the absence of explicit
velocity-alignment, recovering a behavior reminiscent of Vicsek-like systems
but featuring macro-phase separation rather than micro-phase separation. We
show that the formation of dense swarms at low velocities reduces the epidemic
threshold of information spreading with respect to the mean field limit. By
bridging together soft active matter physics and agent based modeling of
complex systems, we shed light upon a general positive feedback mechanism that
crucially affects the collective behavior of mobile agents, providing a
reference framework to study realistic situations where this mechanism is at
play. | | Source: | arXiv, 1901.8831 | | Services: | Forum | Review | PDF | Favorites | |
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