Exploring the onset of collective motion in self-organised trails of social organisms
arXiv:1705.04182 · doi:10.1016/j.physa.2017.12.147
Abstract
We investigate the emergence of self-organised trails between two specific target areas in collective motion of social organisms by means of an agent-based model. We present numerical evidences that an increase in the efficiency of navigation in dependence of the colony size, exists. Moreover, the shift, from the diffusive to the directed motion can be quantitatively characterised, identifying and measuring a well defined crossover point. This point corresponds to the minimal number of individuals necessary for the onset of collective cooperation. Finally, by means of a finite-size scaling analysis, we describe its scaling behavior as a function of the environment size. This last result can be of particular interest for interpreting empirical observations or for the design of artificial swarms.
11 pages, 5 figures
References in corpus (8)
- Novel type of phase transition in a system of self-driven particles
- Collective motion
- Individual versus collective cognition in social insects
- The role of neighbours selection on cohesion and order of swarms
- An individual based model with global competition interaction: fluctuations effects in pattern formation
- Analysis of a spatial Lotka-Volterra model with a finite range predator-prey interaction
- Discontinuous phase transition in an open-ended Naming Game
- Finite size scaling analysis of a nonequilibrium phase transition in the naming game model