Evidence map›Paper›PMID 34563562›Full record

ReviewNeuroscience and biobehavioral reviews2021

The road towards understanding embodied decisions.

Jeremy Gordon, Antonella Maselli, Gian Luca Lancia, Thomas Thiery, Paul Cisek, Giovanni Pezzulo

Abstract readReview
In one paragraph

Review in Neuroscience and biobehavioral reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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  4. Heuristically Adaptive Diffusion-Model Evolutionary Strategy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  15. Embodied decisions as active inference.PLoS computational biology · 2025
    Article
  16. Adaptive planning depth in human problem-solving.Royal Society open science · 2025
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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.

Jeremy GordonUniversity of California, Berkeley, Berkeley, CA, 94704, United States.
Antonella MaselliInstitute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy.
Gian Luca LanciaInstitute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy.
Thomas ThieryDepartment of Psychology, University of Montréal, Montréal, Québec, Canada.
Paul CisekDepartment of Neuroscience, University of Montréal, Montréal, Québec, Canada.
Giovanni PezzuloInstitute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy. Electronic address: giovanni.pezzulo@istc.cnr.it.

Funding

European Research Council 820213
6 · The paper itself

Abstract

Most current decision-making research focuses on classical economic scenarios, where choice offers are prespecified and where action dynamics play no role in the decision. However, our brains evolved to deal with different choice situations: "embodied decisions". As examples of embodied decisions, consider a lion that has to decide which gazelle to chase in the savannah or a person who has to select the next stone to jump on when crossing a river. Embodied decision settings raise novel questions, such as how people select from time-varying choice options and how they track the most relevant choice attributes; but they have long remained challenging to study empirically. Here, we summarize recent progress in the study of embodied decisions in sports analytics and experimental psychology. Furthermore, we introduce a formal methodology to identify the relevant dimensions of embodied choices (present and future affordances) and to map them into the attributes of classical economic decisions (probabilities and utilities), hence aligning them. Studying embodied decisions will greatly expand our understanding of what decision-making is.

Indexed as

BrainDecision MakingHumansAction-perception loopAffordancesEmbodied decisionsPlanning

Identifiers

PMID34563562
PMCPMC7614807

What OpenQuestion holds

Textmetadata
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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.