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Group decision-making in animals

Author

Listed:
  • L. Conradt

    (University of Sussex)

  • T. J. Roper

    (University of Sussex)

Abstract

Groups of animals often need to make communal decisions, for example about which activities to perform1, when to perform them2,3,4,5,6,7,8,9 and which direction to travel in1,6,7; however, little is known about how they do so10,11,12. Here, we model the fitness consequences of two possible decision-making mechanisms: ‘despotism’6,7,10 and ‘democracy’1,6,7,10. We show that under most conditions, the costs to subordinate group members, and to the group as a whole, are considerably higher for despotic than for democratic decisions. Even when the despot is the most experienced group member, it only pays other members to accept its decision when group size is small and the difference in information is large. Democratic decisions are more beneficial primarily because they tend to produce less extreme decisions, rather than because each individual has an influence on the decision per se. Our model suggests that democracy should be widespread and makes quantitative, testable predictions about group decision-making in non-humans.

Suggested Citation

  • L. Conradt & T. J. Roper, 2003. "Group decision-making in animals," Nature, Nature, vol. 421(6919), pages 155-158, January.
  • Handle: RePEc:nat:nature:v:421:y:2003:i:6919:d:10.1038_nature01294
    DOI: 10.1038/nature01294
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    Citations

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    Cited by:

    1. Pirotta, Enrico & New, Leslie & Harwood, John & Lusseau, David, 2014. "Activities, motivations and disturbance: An agent-based model of bottlenose dolphin behavioral dynamics and interactions with tourism in Doubtful Sound, New Zealand," Ecological Modelling, Elsevier, vol. 282(C), pages 44-58.
    2. Shinnosuke Nakayama & Rufus A Johnstone & Andrea Manica, 2012. "Temperament and Hunger Interact to Determine the Emergence of Leaders in Pairs of Foraging Fish," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-6, August.
    3. Roland W. Scholz, 2018. "Ways and modes of utilizing Brunswik’s Theory of Probabilistic Functionalism: new perspectives for decision and sustainability research?," Environment Systems and Decisions, Springer, vol. 38(1), pages 99-117, March.
    4. Nauta, Johannes & Simoens, Pieter & Khaluf, Yara, 2022. "Group size and resource fractality drive multimodal search strategies: A quantitative analysis on group foraging," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 590(C).
    5. Jeffrey Andrews & Matthew Clark & Vicken Hillis & Monique Borgerhoff Mulder, 2024. "The cultural evolution of collective property rights for sustainable resource governance," Nature Sustainability, Nature, vol. 7(4), pages 404-412, April.
    6. Pawel Sobkowicz, 2009. "Modelling Opinion Formation with Physics Tools: Call for Closer Link with Reality," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-11.
    7. Konstantinos V Katsikopoulos & Andrew J King, 2010. "Swarm Intelligence in Animal Groups: When Can a Collective Out-Perform an Expert?," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-5, November.
    8. Julian Zappala & Brian Logan, 2010. "Effects of resource availability on consensus decision making in primates," Computational and Mathematical Organization Theory, Springer, vol. 16(4), pages 400-415, December.
    9. Marie-Hélène Pillot & Jacques Gautrais & Patrick Arrufat & Iain D Couzin & Richard Bon & Jean-Louis Deneubourg, 2011. "Scalable Rules for Coherent Group Motion in a Gregarious Vertebrate," PLOS ONE, Public Library of Science, vol. 6(1), pages 1-8, January.
    10. Sveinung Arnesen & Troy S Broderstad & Mikael P Johannesson & Jonas Linde, 2019. "Conditional legitimacy: How turnout, majority size, and outcome affect perceptions of legitimacy in European Union membership referendums," European Union Politics, , vol. 20(2), pages 176-197, June.

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