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Effects of resource availability on consensus decision making in primates

Author

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  • Julian Zappala

    (University of Nottingham)

  • Brian Logan

    (University of Nottingham)

Abstract

There has recently been increasing interest in group decision making, and in particular the mechanisms through which a group of individuals can arrive at a consensus decision. In this paper we investigate the effects of resource availability upon consensus decision making in a primate group. We extend an existing agent-based model of primate decision making to incorporate a model of diminishing foraging returns, and show that the difficulty of obtaining energy from the environment has an impact on successful strategies for consensus decision making in such groups. Moreover, the introduction of diminishing returns also results in better agreement between the predictions of the model and field studies of a naturally occurring primate group.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:comaot:v:16:y:2010:i:4:d:10.1007_s10588-010-9080-4
    DOI: 10.1007/s10588-010-9080-4
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    References listed on IDEAS

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    1. L. Conradt & T. J. Roper, 2003. "Group decision-making in animals," Nature, Nature, vol. 421(6919), pages 155-158, January.
    2. Robert Axelrod, 1997. "Advancing the Art of Simulation in the Social Sciences," Working Papers 97-05-048, Santa Fe Institute.
    3. Bruce Edmonds & David Hales, 2003. "Replication, Replication and Replication: Some Hard Lessons from Model Alignmen," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(4), pages 1-11.
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    Cited by:

    1. Davide Secchi & Raffaello Seri, 2017. "Controlling for false negatives in agent-based models: a review of power analysis in organizational research," Computational and Mathematical Organization Theory, Springer, vol. 23(1), pages 94-121, March.

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