The free energy principle, and its corollary active inference, constitute a bio-inspired theory
that assumes biological agents act to remain in a restricted set of preferred states of the …

Prominent accounts of sentient behavior depict brains as generative models of organismic
interaction with the world, evincing intriguing similarities with current advances in generative …

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 …

Over the last 10 to 15 years, active inference has helped to explain various brain
mechanisms from habit formation to dopaminergic discharge and even modelling curiosity …

In this chapter, we identify fundamental geometric structures that underlie the problems of
sampling, optimization, inference, and adaptive decision-making. Based on this …

Active inference is a state-of-the-art framework for modelling the brain that explains a wide
range of mechanisms such as habit formation, dopaminergic discharge and curiosity …

A central theme of theoretical neurobiology is that most of our cognitive operations require
processing of discrete sequences of items. This processing in turn emerges from continuous …

Active inference is a probabilistic framework for modeling the behavior of biological and
artificial agents, which derives from the principle of minimizing free energy. In recent years …

Is there a canonical way to think of agency beyond reward maximisation? In this paper, we
show that any type of behaviour complying with physically sound assumptions about how …

In order to keep trace of information and grow up, the infant brain has to resolve the problem
about where old information is located and how to index new ones. We propose that the …