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 …

This paper offers an active inference account of choice behaviour and learning. It focuses on
the distinction between goal-directed and habitual behaviour and how they contextualise …

This article describes a process theory based on active inference and belief propagation.
Starting from the premise that all neuronal processing (and action selection) can be …

This article offers a formal account of curiosity and insight in terms of active (Bayesian)
inference. It deals with the dual problem of inferring states of the world and learning its …

We offer a formal treatment of choice behavior based on the premise that agents minimize
the expected free energy of future outcomes. Crucially, the negative free energy or quality of …

We propose a general framework for entropy-regularized average-reward reinforcement
learning in Markov decision processes (MDPs). Our approach is based on extending the …

This paper introduces an active inference formulation of planning and navigation. It
illustrates how the exploitation–exploration dilemma is dissolved by acting to minimise …

In evolutionary biology, niche construction is sometimes described as a genuine
evolutionary process whereby organisms, through their activities and regulatory …

This paper considers agency in the setting of embodied or active inference. In brief, we
associate a sense of agency with prior beliefs about action and ask what sorts of beliefs …

How do we navigate a deeply structured world? Why are you reading this sentence first–and
did you actually look at the fifth word? This review offers some answers by appealing to …