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.
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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 |
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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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