Some interesting observations on the free energy principle
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Abstract (arXiv)
Biehl et al (2020) present some interesting observations on an early formulation of the free energy principle in (Friston, 2013). We use these observations to scaffold a discussion of the technical arguments that underwrite the free energy principle. This discussion focuses on solenoidal coupling between various (subsets of) states in sparsely coupled systems that possess a Markov blanket - and the distinction between exact and approximate Bayesian inference, implied by the ensuing Bayesian mechanics.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Feb 2020.
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Citing papers per year: 2021: 3; 2022: 1.
4 papers.
- 2022The Free Energy Principle for Perception and Action: A Deep Learning Perspectivecited by 24
- 2021Applications of the Free Energy Principle to Machine Learning and Neurosciencecited by 9
- 2021Interpreting Dynamical Systems as Bayesian Reasonerscited by 5
- 2021A Mathematical Walkthrough and Discussion of the Free Energy Principlecited by 1
- 2022The Free Energy Principle for Perception and Action: A Deep Learning Perspective13 Jul 2022
- 2021Interpreting Dynamical Systems as Bayesian Reasoners27 Dec 2021
- 2021A Mathematical Walkthrough and Discussion of the Free Energy Principle30 Aug 2021
- 2021Applications of the Free Energy Principle to Machine Learning and Neuroscience30 Jun 2021