Collective behaviours, such as flocking in birds or decision making by bee colonies, are
some of the most intriguing behavioural phenomena in the animal kingdom. The study of …

While moving, animals must frequently make decisions about their future travel direction,
whether they are alone or in a group. Here we investigate this process for zebrafish (Danio …

Modern computing has enhanced our understanding of how social interactions shape
collective behaviour in animal societies. Although analytical models dominate in studying …

In multiagent systems, it can be hard to design individual models due to financial constraints
and design challenges. Given this, most studies use the same models for each individual …

The interaction between the swarm individuals affects the dynamic behavior of the swarm,
but it is difficult to obtain directly from outside observation. Therefore, the problem we focus …

Computational models of collective motion successfully reproduce the most common
behaviours of a school of fish, using only a few elementary interactions between individuals …

We employ a combination of direct numerical simulations and deep reinforcement learning
to investigate the autonomous navigation capabilities of smart microswimmers in nonuniform …

Deciphering the social interactions that govern collective behavior in animal societies has
greatly benefited from advancements in modern computing. Computational models diverge …

Coarse-grained descriptions of collective motion of flocking systems are often derived for the
macroscopic or the thermodynamic limit. However, the size of many real flocks falls …

For biological groups, the behaviors of individuals will have an impact on the alignment
efficiency of the collective movement. Motivated by Vicsek's pioneering research on self …