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 …

Understanding the emergence of symbol systems, especially language, requires the
construction of a computational model that reproduces both the developmental learning …

Collective motion is ubiquitous in nature; groups of animals, such as fish, birds, and
ungulates appear to move as a whole, exhibiting a rich behavioral repertoire that ranges …

This white paper lays out a vision of research and development in the field of artificial
intelligence for the next decade (and beyond). Its denouement is a cyber-physical …

Artificial Intelligence (AI) powered machines are increasingly mediating our work and many
of our managerial, economic, and cultural interactions. While technology enhances …

As society has come to rely on groups and technology to address many of its most
challenging problems, there is a growing need to understand how technology-enabled …

The spread of ideas is a fundamental concern of today's news ecology. Understanding the
dynamics of the spread of information and its co-option by interested parties is of critical …

We develop a network of Bayesian agents that collectively model the mental states of
teammates from the observed communication. Using a generative computational approach …

The free energy principle from neuroscience has recently gained traction as one of the most
prominent brain theories that can emulate the brain's perception and action in a bio-inspired …

Active inference under the Free Energy Principle has been proposed as an across-scales
compatible framework for understanding and modelling behaviour and self-maintenance …