Among the available solutions for drone swarm simulations, we identified a lack of
simulation frameworks that allow easy algorithms prototyping, tuning, debugging and …

A variety of simple models has been proposed to understand the collective motion of
animals. These models can be insightful but may lack important elements necessary to …

The correlated motion of flocks is an example of global order emerging from local
interactions. An essential difference with respect to analogous ferromagnetic systems is that …

Collective animal behavior is an emergent phenomenon arising from the local interactions of
the members of animal groups. Considerable progress has been made in characterizing …

Collective behavior, such as shoaling in teleost fish, is driven by the perceptual recognition
of conspecific animals. Because social interactions are mutual, it has been difficult to …

Learning has been studied extensively in the context of isolated individuals. However, many
organisms are social and consequently make decisions both individually and as part of a …

Animal groups vary in their collective order (or state), forming disordered swarms to highly
polarized groups. One explanation for this variation is that individuals face differential …

Complex schooling behaviors result from local interactions among individuals. Yet, how
sensory signals from neighbors are analyzed in the visuomotor stream of animals is poorly …

The renormalization group is a key set of ideas and quantitative tools of statistical physics
that allow for the calculation of universal quantities that encompass the behaviour of different …

The exceptional reactivity of animal collectives to predatory attacks is thought to be owing to
rapid, but local, transfer of information between group members. These groups turn together …