Literature DB >> 33673663

A Technical Critique of Some Parts of the Free Energy Principle.

Martin Biehl1, Felix A Pollock2, Ryota Kanai1.   

Abstract

We summarize the original formulation of the free energy principle and highlight some technical issues. We discuss how these issues affect related results involving generalised coordinates and, where appropriate, mention consequences for and reveal, up to now unacknowledged, differences from newer formulations of the free energy principle. In particular, we reveal that various definitions of the "Markov blanket" proposed in different works are not equivalent. We show that crucial steps in the free energy argument, which involve rewriting the equations of motion of systems with Markov blankets, are not generally correct without additional (previously unstated) assumptions. We prove by counterexamples that the original free energy lemma, when taken at face value, is wrong. We show further that this free energy lemma, when it does hold, implies the equality of variational density and ergodic conditional density. The interpretation in terms of Bayesian inference hinges on this point, and we hence conclude that it is not sufficiently justified. Additionally, we highlight that the variational densities presented in newer formulations of the free energy principle and lemma are parametrised by different variables than in older works, leading to a substantially different interpretation of the theory. Note that we only highlight some specific problems in the discussed publications. These problems do not rule out conclusively that the general ideas behind the free energy principle are worth pursuing.

Entities:  

Keywords:  Markov blanket; free energy principle; stochastic differential equations

Year:  2021        PMID: 33673663     DOI: 10.3390/e23030293

Source DB:  PubMed          Journal:  Entropy (Basel)        ISSN: 1099-4300            Impact factor:   2.524


  6 in total

1.  George Orwell, objectivity, and the reality behind illusions.

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Journal:  Perception       Date:  2022-05-16       Impact factor: 1.695

Review 2.  The Free Energy Principle for Perception and Action: A Deep Learning Perspective.

Authors:  Pietro Mazzaglia; Tim Verbelen; Ozan Çatal; Bart Dhoedt
Journal:  Entropy (Basel)       Date:  2022-02-21       Impact factor: 2.524

3.  Bayesian mechanics for stationary processes.

Authors:  Lancelot Da Costa; Karl Friston; Conor Heins; Grigorios A Pavliotis
Journal:  Proc Math Phys Eng Sci       Date:  2021-12-08       Impact factor: 2.704

Review 4.  How particular is the physics of the free energy principle?

Authors:  Miguel Aguilera; Beren Millidge; Alexander Tschantz; Christopher L Buckley
Journal:  Phys Life Rev       Date:  2021-11-23       Impact factor: 11.025

5.  Asymptotic burnout and homeostatic awakening: a possible solution to the Fermi paradox?

Authors:  Michael L Wong; Stuart Bartlett
Journal:  J R Soc Interface       Date:  2022-05-04       Impact factor: 4.293

6.  On the Inherent Instability of Biocognition: Toward New Probability Models and Statistical Tools.

Authors:  Rodrick Wallace; Irina Leonova; Saikat Gochhait
Journal:  Entropy (Basel)       Date:  2022-08-03       Impact factor: 2.738

  6 in total

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