Evidence map›Paper›PMID 41680162›Full record

ArticleNature communications2026

Competing cognitive pressures on human exploration in the absence of trade-off with exploitation.

Clémence Alméras, Valerian Chambon, Valentin Wyart

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Exploration heuristics decrease during youth.Cognitive, affective & behavioral neuroscience · 2022
    Article
  6. 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

3 authors.

Clémence AlmérasLaboratoire de Neurosciences Cognitives et Computationnelles, Institut National de la Santé et de la Recherche Médicale (Inserm), Paris, France. clemence.almeras@gmail.com.ORCID http://orcid.org/0000-0002-2623-4062
Valerian ChambonDépartement d'Études Cognitives, École Normale Supérieure, Université PSL, Paris, France.
Valentin WyartLaboratoire de Neurosciences Cognitives et Computationnelles, Institut National de la Santé et de la Recherche Médicale (Inserm), Paris, France. valentin.wyart@inserm.fr.ORCID http://orcid.org/0000-0001-6522-7837

Funding

Agence Nationale de la Recherche (French National Research Agency) ANR-17-EURE-0017EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) ERC-StG- 759341
6 · The paper itself

Abstract

Exploring novel environments through sequential sampling is essential for efficient decision-making under uncertainty. In the laboratory, human exploration has been studied in situations where it is traded against reward maximisation. By design, these 'explore-exploit' dilemmas confound the behavioural characteristics of exploration with those of the trade-off itself. Here, we propose a sequential sampling task where exploration can be compared in the presence and absence of trade-off with exploitation. Detailed model-based analyses of choices reveal specific exploration patterns arising when information seeking is not traded against reward seeking or influenced by prospective value. Human choices are directed toward the most uncertain option available, but only after an initial sampling phase consisting of repeated choices from each novel option. These findings outline competing cognitive pressures on information seeking: the repeated sampling of the current option (local uncertainty minimisation), and the directed sampling of the most uncertain option available (global uncertainty minimisation).

Indexed as

Choice BehaviorCognitionDecision MakingExploratory BehaviorHumansRewardUncertainty

Identifiers

PMID41680162
PMCPMC12901306

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.