Alignment with neighbours enables escape from dead ends in flocking models

Abstract

Coordinated movement in animal groups (flocks, schools, herds, etc.) is a classic and well-studied form of collective behavior. Most theoretical studies consider agents in unobstructed spaces; however, many animals move in often complicated environments and must navigate around and through obstacles. Here we consider simulated agents behaving according to typical flocking rules, with the addition of repulsion from obstacles, and study their collective behavior in environments with concave obstacles (dead ends). We find that groups of such agents heading for a goal can spontaneously escape dead ends without wall-following or other specialized behaviors, in what we term "flocking escapes". The mechanism arises when agents align with one another while heading away from the goal, forming a self-stable cluster that persists long enough to exit the obstacle and avoids becoming trapped again when turning back towards the goal. Solitary agents under the same conditions are never observed to escape. We show that alignment with neighbors reduces the effective turning speed of the group, while letting individuals maintain high maneuverability when needed. The relative robustness of flocking escapes in our studies suggests that this emergent behavior may be relevant for a variety of animal species.