It is a fundamental challenge to understand how the function of a network is related to its
structural organization. Adaptive dynamical networks represent a broad class of systems that …

Abstract Machines powered by artificial intelligence increasingly mediate our social, cultural,
economic and political interactions. Understanding the behaviour of artificial intelligence …

A celebrated and controversial hypothesis suggests that some biological systems—parts,
aspects, or groups of them—may extract important functional benefits from operating at the …

Choosing among spatially distributed options is a central challenge for animals, from
deciding among alternative potential food sources or refuges to choosing with whom to …

My major motivation to think about swarm robotics is the question of how probabilistic local
actions of small robots sum up to rational global patterns shown by the swarm. For the …

This paper concerns the distributed intelligence or federated inference that emerges under
belief-sharing among agents who share a common world—and world model. Imagine, for …

Agent-based modeling (ABM) is a novel computational methodology for representing the
behavior of individuals in order to study social phenomena. Its use is rapidly growing in …

People must integrate disparate sources of information when making decisions, especially
in social contexts. But information does not always flow freely. It can be constrained by social …

Social grou** is omnipresent in the animal kingdom. Considerable research has focused
on understanding how animal groups form and function, including how collective behaviour …

Conflicts of interest about where to go and what to do are a primary challenge of group
living. However, it remains unclear how consensus is achieved in stable groups with …