Skip to main content
Journal cover image

The evolution of self-control.

Publication ,  Journal Article
MacLean, EL; Hare, B; Nunn, CL; Addessi, E; Amici, F; Anderson, RC; Aureli, F; Baker, JM; Bania, AE; Barnard, AM; Boogert, NJ; Brannon, EM ...
Published in: Proc Natl Acad Sci U S A
May 20, 2014

Cognition presents evolutionary research with one of its greatest challenges. Cognitive evolution has been explained at the proximate level by shifts in absolute and relative brain volume and at the ultimate level by differences in social and dietary complexity. However, no study has integrated the experimental and phylogenetic approach at the scale required to rigorously test these explanations. Instead, previous research has largely relied on various measures of brain size as proxies for cognitive abilities. 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. Phylogenetic analysis revealed that absolute brain volume best predicted performance across species and accounted for considerably more variance than brain volume controlling for body mass. This result corroborates recent advances in evolutionary neurobiology and illustrates the cognitive consequences of cortical reorganization through increases in brain volume. Within primates, dietary breadth but not social group size was a strong predictor of species differences in self-control. Our results implicate robust evolutionary relationships between dietary breadth, absolute brain volume, and self-control. These findings provide a significant first step toward quantifying the primate cognitive phenome and explaining the process of cognitive evolution.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Proc Natl Acad Sci U S A

DOI

EISSN

1091-6490

Publication Date

May 20, 2014

Volume

111

Issue

20

Start / End Page

E2140 / E2148

Location

United States

Related Subject Headings

  • Species Specificity
  • Social Behavior
  • Selection, Genetic
  • Problem Solving
  • Primates
  • Phylogeny
  • Organ Size
  • Models, Statistical
  • Likelihood Functions
  • Learning
 

Citation

APA
Chicago
ICMJE
MLA
NLM
MacLean, E. L., Hare, B., Nunn, C. L., Addessi, E., Amici, F., Anderson, R. C., … Zhao, Y. (2014). The evolution of self-control. Proc Natl Acad Sci U S A, 111(20), E2140–E2148. https://doi.org/10.1073/pnas.1323533111
MacLean, Evan L., Brian Hare, Charles L. Nunn, Elsa Addessi, Federica Amici, Rindy C. Anderson, Filippo Aureli, et al. “The evolution of self-control.Proc Natl Acad Sci U S A 111, no. 20 (May 20, 2014): E2140–48. https://doi.org/10.1073/pnas.1323533111.
MacLean EL, Hare B, Nunn CL, Addessi E, Amici F, Anderson RC, et al. The evolution of self-control. Proc Natl Acad Sci U S A. 2014 May 20;111(20):E2140–8.
MacLean, Evan L., et al. “The evolution of self-control.Proc Natl Acad Sci U S A, vol. 111, no. 20, May 2014, pp. E2140–48. Pubmed, doi:10.1073/pnas.1323533111.
MacLean EL, Hare B, Nunn CL, Addessi E, Amici F, Anderson RC, Aureli F, Baker JM, Bania AE, Barnard AM, Boogert NJ, Brannon EM, Bray EE, Bray J, Brent LJN, Burkart JM, Call J, Cantlon JF, Cheke LG, Clayton NS, Delgado MM, DiVincenti LJ, Fujita K, Herrmann E, Hiramatsu C, Jacobs LF, Jordan KE, Laude JR, Leimgruber KL, Messer EJE, Moura ACDA, Ostojić L, Picard A, Platt ML, Plotnik JM, Range F, Reader SM, Reddy RB, Sandel AA, Santos LR, Schumann K, Seed AM, Sewall KB, Shaw RC, Slocombe KE, Su Y, Takimoto A, Tan J, Tao R, van Schaik CP, Virányi Z, Visalberghi E, Wade JC, Watanabe A, Widness J, Young JK, Zentall TR, Zhao Y. The evolution of self-control. Proc Natl Acad Sci U S A. 2014 May 20;111(20):E2140–E2148.
Journal cover image

Published In

Proc Natl Acad Sci U S A

DOI

EISSN

1091-6490

Publication Date

May 20, 2014

Volume

111

Issue

20

Start / End Page

E2140 / E2148

Location

United States

Related Subject Headings

  • Species Specificity
  • Social Behavior
  • Selection, Genetic
  • Problem Solving
  • Primates
  • Phylogeny
  • Organ Size
  • Models, Statistical
  • Likelihood Functions
  • Learning