[HTML][HTML] The free energy principle made simpler but not too simple
This paper provides a concise description of the free energy principle, starting from a
formulation of random dynamical systems in terms of a Langevin equation and ending with a …
formulation of random dynamical systems in terms of a Langevin equation and ending with a …
[HTML][HTML] Path integrals, particular kinds, and strange things
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 …
account expresses the paths or trajectories that a particle takes as it evolves over time. The …
On Bayesian mechanics: a physics of and by beliefs
MJD Ramstead, DAR Sakthivadivel… - Interface …, 2023 - royalsocietypublishing.org
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 …
called Bayesian mechanics. Bayesian mechanics is a probabilistic mechanics, comprising …
How active inference could help revolutionise robotics
Recent advances in neuroscience have characterised brain function using mathematical
formalisms and first principles that may be usefully applied elsewhere. In this paper, we …
formalisms and first principles that may be usefully applied elsewhere. In this paper, we …
Sustainability under active inference
In this paper, we explore the known connection among sustainability, resilience, and well-
being within the framework of active inference. Initially, we revisit how the notions of well …
being within the framework of active inference. Initially, we revisit how the notions of well …
Reward maximization through discrete active inference
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 …
artificial agents, which derives from the principle of minimizing free energy. In recent years …
The entropy production of stationary diffusions
L Da Costa, GA Pavliotis - Journal of Physics A: Mathematical …, 2023 - iopscience.iop.org
The entropy production rate is a central quantity in non-equilibrium statistical physics,
scoring how far a stochastic process is from being time-reversible. In this paper, we compute …
scoring how far a stochastic process is from being time-reversible. In this paper, we compute …
A worked example of the Bayesian mechanics of classical objects
DAR Sakthivadivel - International Workshop on Active Inference, 2022 - Springer
Bayesian mechanics is a new approach to studying the mathematics and physics of
interacting stochastic processes. We provide a worked example of a physical mechanics for …
interacting stochastic processes. We provide a worked example of a physical mechanics for …
Regarding Flows Under the Free Energy Principle: A Comment on" How Particular is the Physics of the Free Energy Principle?" by Aguilera, Millidge, Tschantz, and …
DAR Sakthivadivel - arXiv preprint arXiv:2205.07793, 2022 - arxiv.org
In a recent technical critique of the free energy principle (FEP) due to Aguilera-Millidge-
Tschantz-Buckley, it is argued that there are a number of instances where the FEP $\unicode …
Tschantz-Buckley, it is argued that there are a number of instances where the FEP $\unicode …
Value of Information and Reward Specification in Active Inference and POMDPs
R Wei - arXiv preprint arXiv:2408.06542, 2024 - arxiv.org
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 …
gained popularity due to its intuitive decomposition of the expected value of control into a …