Recent work in social cognition has moved beyond a focus on how people process social
rewards to examine how healthy people represent other agents and how this is altered in …

The ability to form a Theory of Mind (ToM), ie, to theorize about others' mental states to
explain and predict behavior in relation to attributed intentional states, constitutes a hallmark …

In perceptual decisions, subjects infer hidden states of the environment based on noisy
sensory information. Here we show that both choice and its associated confidence are …

When making decisions in groups, the outcome of one's decision often depends on the
decisions of others, and there is a tradeoff between short-term incentives for an individual …

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

Connectome-based models, also known as virtual brain models (VBMs), have been well
established in network neuroscience to investigate pathophysiological causes underlying a …

Voluntary participation is a central yet understudied aspect of collaboration. Here, we model
collaboration as people's voluntary choices between joining an uncertain public goods …

We advance a novel computational model of multi-agent, cooperative joint actions that is
grounded in the cognitive framework of active inference. The model assumes that to solve a …

Humans frequently interact with agents whose intentions can fluctuate between competition
and cooperation over time. It is unclear how the brain adapts to fluctuating intentions of …

A better understanding of social human dynamics would be a powerful tool to improve
nearly any computational endeavour that involves human interactions. This includes …