Evidence map›Paper›PMID 39280241›Full record

ArticleComputational psychiatry (Cambridge, Mass.)2024

(Mal)adaptive Mentalizing in the Cognitive Hierarchy, and Its Link to Paranoia.

Nitay Alon, Lion Schulz, Vaughan Bell, Michael Moutoussis, Peter Dayan, Joseph M Barnby

Abstract read
In one paragraph

Article in Computational psychiatry (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Nitay AlonDepartment of Computer Science, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID https://orcid.org/0000-0002-2698-3573
Lion SchulzDepartment of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.ORCID https://orcid.org/0000-0003-1841-1273
Vaughan BellClinical, Educational, and Health Psychology, University College London, United Kingdom.ORCID https://orcid.org/0000-0001-8616-4847
Michael MoutoussisDepartment of Imaging Neuroscience, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-4751-0425
Peter DayanDepartment of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.ORCID https://orcid.org/0000-0003-3476-1839
Joseph M BarnbyDepartment of Psychology, Royal Holloway University of London, London, United Kingdom.ORCID https://orcid.org/0000-0001-6002-1362

Funding

Wellcome Trust
6 · The paper itself

Abstract

Humans need to be on their toes when interacting with competitive others to avoid being taken advantage of. Too much caution out of context can, however, be detrimental and produce false beliefs of intended harm. Here, we offer a formal account of this phenomenon through the lens of Theory of Mind. We simulate agents of different depths of mentalizing within a simple game theoretic paradigm and show how, if aligned well, deep recursive mentalization gives rise to both successful deception as well as reasonable skepticism. However, we also show that if a self is mentalizing too deeply - hyper-mentalizing - false beliefs arise that a partner is trying to trick them maliciously, resulting in a material loss to the self. Importantly, we show that this is only true when hypermentalizing agents believe observed actions are generated intentionally. This theory offers a potential cognitive mechanism for suspiciousness, paranoia, and conspiratorial ideation. Rather than a deficit in Theory of Mind, paranoia may arise from the application of overly strategic thinking to ingenuous behaviour. Author Summary: Interacting competitively requires vigilance to avoid deception. However, excessive caution can have adverse effects, stemming from false beliefs of intentional harm. So far there is no formal cognitive account of what may cause this suspiciousness. Here we present an examination of this phenomenon through the lens of Theory of Mind - the cognitive ability to consider the beliefs, intentions, and desires of others. By simulating interacting computer agents we illustrate how well-aligned agents can give rise to successful deception and justified skepticism. Crucially, we also reveal that overly cautious agents develop false beliefs that an ingenuous partner is attempting malicious trickery, leading to tangible losses. As well as formally defining a plausible mechanism for suspiciousness, paranoia, and conspiratorial thinking, our theory indicates that rather than a deficit in Theory of Mind, paranoia may involve an over-application of strategy to genuine behaviour.

Indexed as

Bayesian braincomputational modelcomputational psychiatryemergence of paranoid behavioirparanoiaparanoid delusionsTheory of mind

Identifiers

PMID39280241
PMCPMC11396085

What OpenQuestion holds

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Registered trials

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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.