The role of neighbours selection on cohesion and order of swarms

Abstract

We introduce a multi-agent model for exploring how selection of neighbours determines some aspects of order and cohesion in swarms. The model algorithm states that every agents' motion seeks for an optimal distance from the nearest topological neighbour encompassed in a limited attention field. Despite the great simplicity of the implementation, varying the amplitude of the attention landscape, swarms pass from cohesive and regular structures towards fragmented and irregular configurations. Interestingly, this movement rule is an ideal candidate for implementing the selfish herd hypothesis which explains aggregation of alarmed group of social animals.

15 pages, 9 figures, Plos One, May 2014

References in corpus (3)

• Novel type of phase transition in a system of self-driven particles
• Collective motion
• Interaction Ruling Animal Collective Behaviour Depends on Topological rather than Metric Distance: Evidence from a Field Study

Cited by in corpus (5)

• Collective movement in alarmed animals groups: a simple model with positional forces and a limited attention field
• Data-driven discovery of stochastic dynamical equations of collective motion
• Exploring the onset of collective motion in self-organised trails of social organisms
• Zoology of collective patterns modulated by non-reciprocal, long-range interactions
• Randomness in the choice of neighbours promotes cohesion in mobile animal groups