Evidence map›Paper›PMID 42459532›Full record

ArticleComputational brain & behavior2024

Reclaiming AI as a Theoretical Tool for Cognitive Science.

Iris van Rooij, Olivia Guest, Federico Adolfi, Ronald de Haan, Antonina Kolokolova, Patricia Rich

Abstract read
In one paragraph

Article in Computational brain & behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. What Does 'Human-Centred AI' Mean?Behavioral sciences (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Virtues for AI.AI & society · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. What Makes a Good Theory? Interdisciplinary Perspectives.Computational brain & behavior · 2024
    Article
  15. Article
  16. Article
  17. People, places, things and communities: expanding behaviour settings theory in the twenty-first century.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  18. Systematic testing of three Language Models reveals low language accuracy, absence of response stability, and a yes-response bias.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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.

Iris van RooijDonders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, The Netherlands.ORCID 0000-0001-6520-4635
Olivia GuestDonders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, The Netherlands.
Federico AdolfiErnst Strüngmann Institute for Neuroscience in Cooperation with Max-Planck Society, Frankfurt, Germany.
Ronald de HaanInstitute for Logic, Language and Computation (ILLC), University of Amsterdam, Amsterdam, The Netherlands.
Antonina KolokolovaDepartment of Computer Science, Memorial University of Newfoundland, Newfoundland, Canada.
Patricia RichDepartment of Philosophy, University of Bayreuth, Bayreuth, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The

Indexed as

Artificial Intelligence (AI)Cognitive scienceComputational complexityEngineeringExplanationTheory

Identifiers

PMID42459532
PMCPMC13298668

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.