File:Evolution-of-Collective-Behaviour-in-an-Artificial-World-Using-Linguistic-Fuzzy-Rule-Based-Systems-pone.0168876.s002.ogv

English: Video sequence portraying a representative behaviour for the case of evolutionary runs with no predator present. Local density, polarization and momentum are very low throughout the entire simulation run and the evolved behaviour can be classified as scattered swarming behaviour. The prey agents learned to spread out over the entire living area, to stay inside the borders of the living area, and to avoid each other (prevent collisions). Note that the evolved swarming behaviour is very different with respect to the behaviour that evolved in the case when predators were present (see S2 Video). In the latter case prey learned also to group and react to predator attacks.