The term 'stress'–coined in 1936–has many definitions, but until now has lacked a
theoretical foundation. Here we present an information-theoretic approach–based on the …

Active inference is a normative principle underwriting perception, action, planning, decision-
making and learning in biological or artificial agents. From its inception, its associated …

The aim of this paper is to introduce a field of study that has emerged over the last decade,
called Bayesian mechanics. Bayesian mechanics is a probabilistic mechanics, comprising …

The free-energy principle (FEP) is a formal model of neuronal processes that is widely
recognised in neuroscience as a unifying theory of the brain and biobehaviour. More …

This paper describes a path integral formulation of the free energy principle. The ensuing
account expresses the paths or trajectories that a particle takes as it evolves over time. The …

This essay addresses Cartesian duality and how its implicit dialectic might be repaired using
physics and information theory. Our agenda is to describe a key distinction in the physical …

One of the most salient features of life is its capacity to handle novelty and namely to thrive
and adapt to new circumstances and changes in both the environment and internal …

In this paper we outline a framework for the study of the mechanisms involved in the
engagement of human agents with cultural affordances. Our aim is to better understand how …

All epistemic agents physically consist of parts that must somehow comprise an integrated
cognitive self. Biological individuals consist of subunits (organs, cells, and molecular …

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