Cited by 85Primate Behavior and EcologyAnimal Behavior and ReproductionEvolutionary Game Theory and Cooperation

Social Feedback and the Emergence of Rank in Animal Society

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Hobson, Elizabeth A., DeDeo, Simon·2015·PLOS Computational Biology

Published version of a preprint

Abstract

Dominance hierarchies are group-level properties that emerge from the aggression of individuals. Although individuals can gain critical benefits from their position in a hierarchy, we do not understand how real-world hierarchies form. Nor do we understand what signals and decision-rules individuals use to construct and maintain hierarchies in the absence of simple cues such as size or spatial location. A study of conflict in two groups of captive monk parakeets (Myiopsitta monachus) found that a transition to large-scale order in aggression occurred in newly-formed groups after one week, with individuals thereafter preferring to direct aggression more frequently against those nearby in rank. We consider two cognitive mechanisms underlying the emergence of this order: inference based on overall levels of aggression, or on subsets of the aggression network. Both mechanisms were predictive of individual decisions to aggress, but observed patterns were better explained by rank inference through subsets of the aggression network. Based on these results, we present a new theory, of a feedback loop between knowledge of rank and consequent behavior. This loop explains the transition to strategic aggression and the formation and persistence of dominance hierarchies in groups capable of both social memory and inference.

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  1. [75]Brush ER, Krakauer DC, Flack JC. A family of algorithms for computing consensus about node state from network data. PLoS Computational Biology. 2013; 9(7): e1003109 10.1371/journal.pcbi.1003109 23874167 PMC3715438 · DOI
  2. [97]Cheney DL, Seyfarth RM. The recognition of social alliances by vervet monkeys. Animal Behaviour. 1986; 34(6): 1722– 1731. 10.1016/S0003-3472(86)80259-7 · DOI

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Authors
Hobson, E. A., & DeDeo, S.
Affiliations
  • New Mexico State University (US)
  • Santa Fe Institute (US)
Corresponding author
  • Hobson, Elizabeth A.
  • DeDeo, Simon
Venue
PLOS Computational Biology
Published
2015-09-10
Volume
11
Issue
9
Pages
e1004411
ISSN
  • 1553-734X (ISSN-L)
  • 1553-7358
OpenAlex
W2121115245
Cited by
85
References
98
Citations by year
2026: 4 · 2025: 12 · 2024: 2 · 2023: 6 · 2022: 14 · 2021: 12 · 2020: 7 · 2019: 7 · 2018: 6 · 2017: 8 · 2016: 7
FWCI
11.48
Type
journal article
Language
en
Open access
Locations
  • PLoS Computational Biology (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Funders
  • National Science Foundation (DBI‐130042,6, 1137929, 0725032, 0947465, 1300426, GK‐12)
  • U.S. Department of Homeland Security
  • U.S. Department of Agriculture (-1300426, DBI-1300426)
  • American Ornithologists' Union
  • National Institute for Mathematical and Biological Synthesis (DBI‐1300426, NSF Award #DBI‐1300426)
  • New Mexico State University
  • Santa Fe Institute
  • University of Tennessee, Knoxville
Topics
  • Social Sciences › Psychology › Social Psychology › Primate Behavior and Ecology
  • Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Animal Behavior and Reproduction
  • Social Sciences › Sociology and Political Science › Evolutionary Game Theory and Cooperation
Keywords
dominance hierarchy, social rank, social feedback, monk parakeet, Myiopsitta monachus, social memory, group formation, animal social behavior
MeSH terms
Aggression, Algorithms, Animals, Behavior, Animal, Conflict, Psychological, Parakeets, Social Dominance, Computational Biology, Feedback, Psychological

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