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Resilience and active inference

Miller, M; Albarracin, M; Pitliya, RJ; Kiefer, A; Mago, J; Gorman, C; Friston, KJ; (2022) Resilience and active inference. Frontiers in Psychology , 13 , Article 1059117. 10.3389/fpsyg.2022.1059117. Green open access

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Abstract

In this article, we aim to conceptualize and formalize the construct of resilience using the tools of active inference, a new physics-based modeling approach apt for the description and analysis of complex adaptive systems. We intend this as a first step toward a computational model of resilient systems. We begin by offering a conceptual analysis of resilience, to clarify its meaning, as established in the literature. We examine an orthogonal, threefold distinction between meanings of the word “resilience”: (i) inertia, or the ability to resist change (ii) elasticity, or the ability to bounce back from a perturbation, and (iii) plasticity, or the ability to flexibly expand the repertoire of adaptive states. We then situate all three senses of resilience within active inference. We map resilience as inertia onto high precision beliefs, resilience as elasticity onto relaxation back to characteristic (i.e., attracting) states, and resilience as plasticity onto functional redundancy and structural degeneracy.

Type: Article
Title: Resilience and active inference
Location: Switzerland
Open access status: An open access version is available from UCL Discovery
DOI: 10.3389/fpsyg.2022.1059117
Publisher version: https://doi.org/10.3389/fpsyg.2022.1059117
Language: English
Additional information: Copyright © 2022 Miller, Albarracin, Pitliya, Kiefer, Mago, Gorman, Friston and Ramstead. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Keywords: active inference, complex adaptive system, elasticity, inertia, plasticity, resilience, robustness
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/10163582
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