Much has been written about the free energy principle (FEP), and much misunderstood. The
principle has traditionally been put forth as a theory of brain function or biological self …

Although it may appear infeasible and impractical, building artificial intelligence (AI) using a
bottom-up approach based on the understanding of neuroscience is straightforward. The …

Neuroscience is home to concepts and theories with roots in a variety of domains including
information theory, dynamical systems theory, and cognitive psychology. Not all of those can …

The constrained disorder principle defines the existence and function of living organisms.
The principle specifies that biological systems comprise a disorder within constrained …

In this paper, a simple case of Bayesian mechanics under the free energy principle is
formulated in axiomatic terms. We argue that any dynamical system with constraints on its …

This paper starts from Schrödinger's famous question “what is life” and elucidates answers
that invoke, in particular, Friston's free energy principle and its relation to the method of …

Expected free energy (EFE) is a central quantity in active inference which has recently
gained popularity due to its intuitive decomposition of the expected value of control into a …

The Nash equilibrium concept has previously been shown to be an important tool to
understand human sensorimotor interactions, where different actors vie for minimizing their …

Linear parametric state-space models are a ubiquitous tool for analyzing neural time series
data, providing a way to characterize the underlying brain dynamics with much greater …

Bounded rationality is an important consideration stemming from the fact that agents often
have limits on their processing abilities, making the assumption of perfect rationality …