free energy principle
__The free energy principle tries to explain how biological systems remain in non-equilibrium steady-states by restricting themselves to a limited number of states.__ — via Free energy principle * Wikipedia
[1st International Workshop on Active Inference](https://iwaiworkshop.github.io/#) to be held <2020-09-14 Mon> with paper submission deadline <2020-06-09 Tue>.
What is the relationship between the free energy principle and active inference?
Links to this note
- open documents
- reading list
- Martin Biehl
- Principles of the self-organizing system by W. Ross Ashby in 1962
- The free energy principle for action and perception A mathematical review by Christopher Buckley, Anil Seth, et al in 2017
- system-environment distinction
- variational inference
- Active inference on discrete state-spaces - a synthesis by Lancelot Da Costa, Thomas Parr, Karl Friston et al in 2020
- Bayesian brain hypothesis
- prediction error minimization
- intrinsic motivation
- dynamic causal modeling
- Universal Darwinism as a process of Bayesian inference by John Campbell in 2016
- The Helmholtz Machine by Peter Dayan, Geoffrey Hinton, Radford Neal, and Richard Zemel in 1995
- Notions of intrinsic motivation by Martin Biehl in 2017
- Karl Friston
- Information, physics, and computation by Marc Mezard and Andrea Montanari in 2009
- How is digital physics related to the free energy principle?
- Expanding the Active Inference Landscape More Intrinsic Motivations in the Perception-Action Loop by Martin Biehl, Daniel Polani, et al in 2018
- DEM A variational treatment of dynamic systems by Karl Friston and J Daunizeau in 2008
- Becoming as inference
- Andy Clark
- A tutorial on the free-energy framework for modeling perception and learning by Rafal Bogacz in 2017