Cited by 811Language and cultural evolutionEvolutionary Game Theory and CooperationChild and Animal Learning Development

Why Copy Others? Insights from the Social Learning Strategies Tournament

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Rendell, L., Boyd, R., Cownden, D., Enquist, M., Eriksson, K., Feldman, M. W., Fogarty, L., Ghirlanda, S. +2 more·2010·Science

Abstract

It Pays to Be a Copy Cat: Does it pay to copy what others do? Rendell et al. (p. 208 ) elected to copy Robert Axelrod's 1979 tournament in which strategies for playing the iterated prisoner's dilemma game were pitted against each other until an overall winner emerged—the tit-for-tat strategy. In the 2008 tournament, 100 social learning strategies designed to cope with a changing environment competed against each other; the winning strategy involved sampling the behaviors of other players periodically, rather than exploring the environment alone.

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  • The effectiveness of cultural accumulation can be attributed to the flexibility with which participants engage in social learning and independent discovery.

    “Its effectiveness can be attributed to the flexibility with which participants engage in these two mechanisms [Enquist et al., 2008, Rendell et al., 2010, Mesoudi and Thornton, 2018].”

    From Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning (2024) · cites this paper as Rendell et al., 2010

    The Abstract says selective use of social learning may help balance its benefits against its risks. But the Results report that the best tournament strategies learned almost exclusively by copying rather than independent discovery, and the Discussion says choosing between forms of learning may not be necessary. The paper therefore does not establish flexibility between those two mechanisms as the reason cultural accumulation is effective. (LLM, conf=0.84)

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Research works printed but not linked: 14

  1. [1]Richerson PJ Boyd R Not by Genes Alone University of Chicago Press Chicago 2005
  2. [3]Heyes CM Biol Rev 69 207 1994 8054445
  3. [4]Hoppitt W Laland KN Adv Study Behav 38 105 2008 PMC4075144 24991063
  4. [9]Giraldeau LA Valone TJ Templeton JJ Philos Trans R Soc Lond (B Biol Sci) 357 1559 2003 12495513 PMC1693065
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  8. [14]Danchin E Giraldeau LA Valone TJ Wagner RH Science 305 487 2004 15273386
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Authors
Rendell, L., Boyd, R., Cownden, D., Enquist, M., Eriksson, K., Feldman, M. W., Fogarty, L., Ghirlanda, S., Lillicrap, T., & Laland, K. N.
Affiliations
  • University of St Andrews (GB)
  • University of California, Los Angeles (US)
  • Queen's University (CA)
  • Stockholm University (SE)
  • Stanford University (US)
Corresponding author
  • Rendell, L.
  • Laland, K. N.
Venue
Science
Published
2010-04-09
Volume
328
Issue
5975
Pages
208-213
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2038900621
Cited by
811
References
45
Citations by year
2026: 26 · 2025: 41 · 2024: 70 · 2023: 41 · 2022: 49 · 2021: 55 · 2020: 45 · 2019: 55 · 2018: 48 · 2017: 40 · 2016: 54 · 2015: 62 · 2014: 51 · 2013: 48 · 2012: 67
FWCI
1771.34
Type
journal article
Language
en
Open access
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • OSF Preprints (OSF Preprints) (submittedVersion)
Funders
National Institute of General Medical Sciences (R01GM028016)
Topics
  • Social Sciences › Cultural Studies › Language and cultural evolution
  • Social Sciences › Sociology and Political Science › Evolutionary Game Theory and Cooperation
  • Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
Keywords
social learning, copying behavior, trial-and-error learning, information filtering, adaptive behavior, learning strategies, evolutionary game theory
MeSH terms
Cooperative Behavior, Cultural Evolution, Games, Experimental, Humans, Imitative Behavior, Learning, Problem Solving, Social Behavior, Software, Linear Models, Observation

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