Anglia Ruskin Research Online (ARRO)
Browse
Hoppitt_2015_2.pdf (689.54 kB)

Chimpanzees copy dominant and knowledgeable individuals: implications for cultural diversity

Download (689.54 kB)
journal contribution
posted on 2023-08-30, 14:02 authored by Rachel Kendal, Lydia M. Hopper, Andrew Whiten, Sarah F. Brosnan, Susan P. Lambeth, Steven J. Schapiro, William J. E. Hoppitt
Evolutionary theory predicts that natural selection will fashion cognitive biases to guide when, and from whom, individuals acquire social information but the precise nature of these biases, especially in ecologically valid group contexts, remains unknown. We exposed four captive groups of chimpanzees (Pan troglodytes) to a novel extractive foraging device and, by fitting statistical models, isolated four simultaneously operating transmission biases. These include biases to copy (i) higher-ranking and (ii) expert individuals, and to copy others when (iii) uncertain or (iv) of low rank. High-ranking individuals were relatively un-strategic in their use of acquired knowledge, which, combined with the bias for others to observe them, may explain reports that high innovation rates (in juveniles and subordinates) do not generate a correspondingly high frequency of traditions in chimpanzees. Given the typically low rank of immigrants in chimpanzees, a ‘copying dominants’ bias may contribute to the observed maintenance of distinct cultural repertoires in neighboring communities despite sharing similar ecology and knowledgeable migrants. Thus, a copying dominants strategy may, as often proposed for conformist transmission, and perhaps in concert with it, restrict the accumulation of traditions within chimpanzee communities whilst maintaining cultural diversity.

History

Refereed

  • Yes

Volume

36

Issue number

1

Page range

65-72

Publication title

Evolution and Human Behavior

ISSN

1090-5138

Publisher

Elsevier

File version

  • Accepted version

Language

  • eng

Legacy posted date

2014-12-16

Legacy creation date

2019-07-03

Legacy Faculty/School/Department

ARCHIVED Faculty of Science & Technology (until September 2018)

Usage metrics

    ARU Outputs

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC