Evidence map›Paper›PMID 36619023›Full record

ArticleFrontiers in psychology2022

Resilience and active inference.

Mark Miller, Mahault Albarracin, Riddhi J Pitliya, Alex Kiefer, Jonas Mago, Claire Gorman, Karl J Friston, Maxwell J D Ramstead

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mark MillerCenter for Consciousness and Contemplative Studies, Monash University, Melbourne, VIC, Australia.
Mahault AlbarracinVERSES Research Lab, Los Angeles, CA, United States.
Riddhi J PitliyaVERSES Research Lab, Los Angeles, CA, United States.
Alex KieferVERSES Research Lab, Los Angeles, CA, United States.
Jonas MagoIntegrated Program in Neuroscience, Department of Neuroscience, McGill University, Montreal, QC, Canada.
Claire GormanMIT Senseable City Lab, Massachusetts Institute of Technology, Cambridge, MA, United States.
Karl J FristonVERSES Research Lab, Los Angeles, CA, United States.
Maxwell J D RamsteadVERSES Research Lab, Los Angeles, CA, United States.

Funding

Wellcome Trust
6 · The paper itself

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.

Indexed as

active inferencecomplex adaptive systemelasticityinertiaplasticityresiliencerobustness

Identifiers

PMID36619023
PMCPMC9815108

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.