Evidence map›Paper›PMID 39014069›Full record

ArticleNature human behaviour2024

Humans adaptively deploy forward and backward prediction.

Paul B Sharp, Eran Eldar

Erratum issuedAbstract read
In one paragraph

Article in Nature human behaviour, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial-by-trial learning of successor representations in human behavior.bioRxiv : the preprint server for biology · 2025
    Article
  2. Article
  3. Article
  4. Proactive and reactive construction of memory-based preferences.bioRxiv : the preprint server for biology · 2024
    Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Paul B SharpDepartment of Psychology, Hebrew University of Jerusalem, Jerusalem, Israel. paul.sharp@mail.huji.ac.il.ORCID http://orcid.org/0000-0003-4949-1501
Eran EldarDepartment of Psychology, Hebrew University of Jerusalem, Jerusalem, Israel. eran.eldar@mail.huji.ac.il.

Funding

Neurocomputational studies of mood-related momentum dynamics linking reward learning, valuation and responsivityR01MH124092 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOMBROVSKI, ALEXANDRE Y., ELDAR, ERAN PLAYFAIR · 2020 to 2024
$5.3M
CRCNS US-Israel Research Proposal: Computational Phenotyping of Decision Making in Adolescent PsychopathologyR01MH125564 · NIMH · PRINCETON UNIVERSITY · PI NIV, YAEL · 2020 to 2024
$1.3M
Israel Science Foundation (ISF) 1094/20NIMH NIH HHS R01 MH124092NIMH NIH HHS R01 MH125564United States - Israel Binational Science Foundation (BSF) 2019801U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01MH124092
6 · The paper itself

Abstract

The formation of predictions is essential to our ability to build models of the world and use them for intelligent decision-making. Here we challenge the dominant assumption that humans form only forward predictions, which specify what future events are likely to follow a given present event. We demonstrate that in some environments, it is more efficient to use backward prediction, which specifies what present events are likely to precede a given future event. This is particularly the case in diverging environments, where possible future events outnumber possible present events. Correspondingly, in six preregistered experiments (n = 1,299) involving both simple decision-making and more challenging planning tasks, we find that humans engage in backward prediction in divergent environments and use forward prediction in convergent environments. We thus establish that humans adaptively deploy forward and backward prediction in the service of efficient decision-making.

Indexed as

Decision MakingAdultFemaleForecastingHumansMaleYoung Adult

Identifiers

PMID39014069
PMCPMC11878374

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.