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The hierarchically mechanistic mind: A free-energy formulation of the human psyche

Badcock, PB; Friston, KJ; Ramstead, MJD; (2019) The hierarchically mechanistic mind: A free-energy formulation of the human psyche. Physics of Life Reviews 10.1016/j.plrev.2018.10.002. (In press). Green open access

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Abstract

This article presents a unifying theory of the embodied, situated human brain called the Hierarchically Mechanistic Mind (HMM). The HMM describes the brain as a complex adaptive system that actively minimises the decay of our sensory and physical states by producing self-fulfilling action-perception cycles via dynamical interactions between hierarchically organised neurocognitive mechanisms. This theory synthesises the free-energy principle (FEP) in neuroscience with an evolutionary systems theory of psychology that explains our brains, minds, and behaviour by appealing to Tinbergen's four questions: adaptation, phylogeny, ontogeny, and mechanism. After leveraging the FEP to formally define the HMM across different spatiotemporal scales, we conclude by exploring its implications for theorising and research in the sciences of the mind and behaviour.

Type: Article
Title: The hierarchically mechanistic mind: A free-energy formulation of the human psyche
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.plrev.2018.10.002
Publisher version: https://doi.org/10.1016/j.plrev.2018.10.002
Language: English
Additional information: © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).
Keywords: Active inference, Evolutionary systems theory, Free-energy principle, Hierarchically mechanistic mind, Neuroscience, Psychology
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/10067315
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