Cited by 819Primate Behavior and EcologyEvolutionary Psychology and Human BehaviorAnimal Behavior and Reproduction

The DOI matches its Crossref record; 226 of the 226 references it cites were found in a registry or an index; none of the 46 sources its claims cite is checked for support yet.

The evolution of self-control.

Open access

Abstract

Significance: Although scientists have identified surprising cognitive flexibility in animals and potentially unique features of human psychology, we know less about the selective forces that favor cognitive evolution, or the proximate biological mechanisms underlying this process. We tested 36 species in two problem-solving tasks measuring self-control and evaluated the leading hypotheses regarding how and why cognition evolves. Across species, differences in absolute (not relative) brain volume best predicted performance on these tasks. Within primates, dietary breadth also predicted cognitive performance, whereas social group size did not. These results suggest that increases in absolute brain size provided the biological foundation for evolutionary increases in self-control, and implicate species differences in feeding ecology as a potential selective pressure favoring these skills.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This study experimentally compared self-control across 567 individuals from 36 mammal and bird species using two problem-solving tasks and phylogenetic comparative methods. It found that absolute brain volume, not relative brain volume, best predicted performance, and that within primates dietary breadth—but not social group size—was strongly associated with self-control.

Key findings

  • Across species, absolute brain volume (endocranial volume, ECV) was a robust predictor of self-control, explaining substantial variance on the cylinder task and composite score (r² = 0.43–0.60); residual brain volume explained only 3% of variance in composite scores.
  • Within primates, absolute brain volume was the best predictor (r² = 0.55–0.68), and dietary breadth also covaried strongly with self-control (r² = 0.68); a multiple regression including both ECV and dietary breadth explained 82% of variance in primate composite scores.
  • Social group size (population and foraging group size) and percent fruit in diet were not significant predictors of primate self-control, whereas observational measures such as social learning, extractive foraging, tool use, tactical deception, and g_s covaried positively with experimental scores.
  • Performance on the two tasks was strongly correlated across species (r = 0.53, n = 23, P < 0.01), and scores from multiple populations of the same species were highly correlated (cylinder: r = 0.95, n = 5, P = 0.01; A-not-B: r = 0.87, n = 6, P = 0.03).

Methods

  • The study tested 567 individuals representing 36 species on two self-control tasks: the A-not-B task (27 species, n = 344) and the cylinder task (32 species, n = 439), using standardized pretest criteria and species-level mean performance.
  • Phylogenetic generalized least squares (PGLS) was used to test associations between cognitive performance and neuroanatomical predictors (absolute ECV, residual brain volume, encephalization quotient) and socioecological predictors (group size, frugivory, dietary breadth), accounting for phylogenetic nonindependence.
  • For primates, the authors also fit a multiple regression with absolute ECV and dietary breadth as predictors of composite cognitive scores, and reconstructed ancestral states along the primate phylogeny.

Limitations

  • The paper states that analyses were restricted to whole-brain volume measures because comparative data on finer neuroanatomical substrates (e.g., neuron counts, regional volumes, functional connectivity) were limited.
  • The paper cautions that single-task species data must be interpreted cautiously, citing the Asian elephant’s A-not-B performance, and notes that task features may be more appropriate for some species than others.
  • The paper states that ecological analyses focused on primates because they were best represented and had systematically compiled ecological data; it also notes that more nuanced social/ecological measures may be needed to detect relationships. Evident from the text: the design is correlational, taxonomic sampling is uneven across groups, and the composite score was available for only 23 species.

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Integrity signals

Registry

Crossref · 10.1073/pnas.1323533111

Cites

226 of 226 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

63 Own result · 15 Not checked yet · 8 Own interpretation · 7 Own method

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Show all 65 claims

  • It may state two separate claims as one. 21
  • Probably not a substantial claim. 7
28 of 28
  • The paper relies on this without support.

    The two problem-solving tasks validly measure self-control across species.

    “We experimentally evaluated these major evolutionary explanations by quantitatively comparing the cognitive performance of 567 individuals representing 36 species on two problem-solving tasks measuring self-control.”
  • The paper relies on this without support.

    The composite score averaging performance across tasks is a valid broader index of self-control.

    “Because the two tasks assessed complementary but not identical abilities, the composite score serves as a broader index of self-control across tasks.”
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Citations

Cites

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Research works printed but not linked: 1

  1. D Maestripieri Primate Psychology (Harvard Univ Press, Cambridge, MA, 2003).

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Metadata

Authors
MacLean, E. L., Hare, B., Nunn, C. L., Addessi, E., Amici, F., Anderson, R. C., Aureli, F., Baker, J. M., Bania, A. E., Barnard, A. M., Boogert, N. J., Brannon, E. M., Bray, E. E., Bray, J., Brent, L. J. N., Burkart, J. M., Call, J., Cantlon, J. F., Cheke, L. G., Clayton, N. S., Delgado, M. M., DiVincenti, L. J., Fujita, K., Herrmann, E., Hiramatsu, C., Jacobs, L. F., Jordan, K. E., Laude, J. R., Leimgruber, K. L., Messer, E. J. E., de A. Moura, A. C., Ostojić, L., Picard, A., Platt, M. L., Plotnik, J. M., Range, F., Reader, S. M., Reddy, R. B., Sandel, A. A., Santos, L. R., Schumann, K., Seed, A. M., Sewall, K. B., Shaw, R. C., Slocombe, K. E., Su, Y., Takimoto, A., Tan, J., Tao, R., van Schaik, C. P., Virányi, Z., Visalberghi, E., Wade, J. C., Watanabe, A., Widness, J., Young, J. K., Zentall, T. R., & Zhao, Y.
Affiliations
  • Departments of aEvolutionary Anthropology,
  • Institut des Sciences Cognitives Marc Jeannerod (FR)
  • National Research Council (IT)
  • Max Planck Institute for Evolutionary Anthropology (DE)
  • Duke University (US)
  • Universidad Veracruzana (MX)
  • Stanford Medicine (US)
  • Smithsonian Institution (US)
  • Department of Brain and Cognitive Science and
  • University of St Andrews (GB)
  • Psychology and Neuroscience, and
  • University of Pennsylvania (US)
  • University of Zurich (CH)
  • University of Cambridge (GB)
  • Department of Psychology and
  • University of Rochester (US)
  • Kyoto University (JP)
  • University of California, Berkeley (US)
  • Departments of vPsychology and
  • University of Kentucky (US)
  • Yale University (US)
  • Departamento Engenharia e Meio Ambiente, Universidade Federal da Paraiba, 58059-900, João Pessoa, Brazil;
  • University of York (GB)
  • University of Veterinary Medicine Vienna (AT)
  • McGill University (CA)
  • University of Michigan (US)
  • Peking University (CN)
  • Anthropological Institute and Museum, University of Zurich, 8057 Zurich, Switzerland;
  • Utah State University (US)
Venue
Proceedings of the National Academy of Sciences
Published
2014-04-21
Volume
111
Issue
20
Pages
E2140-8
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2100359507
Cited by
819
References
226
Citations by year
2026: 33 · 2025: 43 · 2024: 80 · 2023: 41 · 2022: 94 · 2021: 91 · 2020: 91 · 2019: 92 · 2018: 74 · 2017: 63 · 2016: 68 · 2015: 31 · 2014: 17
FWCI
88.52
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Digital Commons - USU (Utah State University) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
  • eScholarship@McGill (McGill) (submittedVersion)
  • St Andrews Research Repository (St Andrews Research Repository) (submittedVersion)
  • VTechWorks (Virginia Tech) (submittedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
Funders
  • National Science Foundation (0923791, 220020242, 1106401, NSF-BCS-25172, 1028319, 0905606, FP/2007‐2013)
  • U.S. Department of Agriculture
  • Alfred P. Sloan Foundation
  • James S. McDonnell Foundation (220020242)
  • National Evolutionary Synthesis Center (EF0905606, 0905606)
  • European Commission (2007–2013, 012-984, FP/2007/2013)
  • National Natural Science Foundation of China (973 Program, FP/2007-2013, 31170995)
  • Vienna Science and Technology Fund (CS11-026)
  • Austrian Science Fund (P 21244)
  • Royal Canin (311870)
  • Consiglio Nazionale delle Ricerche
  • National Institutes of Health (5r03hd070649-02, DGE-1106401, 1106401, FP/2007-2013)
  • Japan Society for the Promotion of Science (26119514, 20220004, 10J04395, 25118002, 25240020)
  • National Key Research and Development Program of China (2010CB833904)
  • National Institute of Mental Health (R01MH089484, R01MH096875)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (5 R03 HD070649-02, R03 HD070649)
  • National Wildlife Research Center
  • FP7 Ideas: European Research Council (311870)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Primate Behavior and Ecology
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Evolutionary Psychology and Human Behavior
  • Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Animal Behavior and Reproduction
Keywords
self-control, cognitive evolution, brain size, diet breadth, social group size, primate cognition, problem solving, cortical reorganization, phylogenetic comparative analysis, evolutionary neurobiology
MeSH terms
Animals, Brain, Cognition, Diet, Biological Evolution, Humans, Learning, Organ Size, Phylogeny, Primates, Problem Solving, Selection, Genetic, Social Behavior, Species Specificity, Models, Statistical, Likelihood Functions

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