Ouellette, who works on complex systems at Yale University in New Haven, Connecticut, and his colleague James Puckett, have found that swarms of these insects become self-organizing when their numbers reach just ten individuals.
Fraternally, Philip Carter / Facebook / Great is Truth and mighty above all things (I Esdras 4:41)
This article is about the modelling of flocking behavior. From the perspective of the mathematical modeller, "flocking" is the collective motion of a large number of self-propelled entities and is a collective animal behavior exhibited by many living beings such as birds, fish, bacteria, and insects. It is considered an emergent behavior arising from simple rules that are followed by individuals and does not involve any central coordination.
Basic models of flocking behavior are controlled by three simple rules:
1. Separation - avoid crowding neighbors (short range repulsion) 2. Alignment - steer towards average heading of neighbors 3. Cohesion - steer towards average position of neighbors (long range attraction)
With these three simple rules, the flock moves in an extremely realistic way, creating complex motion and interaction that would be extremely hard to create otherwise.
Fraternally, Philip Carter / Facebook / Great is Truth and mighty above all things (I Esdras 4:41)