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Dominance Orders in Animal Societies: The Self-Organization Hypothesis Revisited

Author

Listed:
  • Eric Bonabeau
  • Guy Theraulaz
  • Jean-Louis Deneubourg

Abstract

In previous papers (Theraulaz et al. 1995, Bonabeau et al. 1996) we suggested, following Hogeweg and Hesper (1983, 1985), that the formation of dominance orders in animal societies could result from a self-organizing process involving a double reinforcement mechanism: winners reinforce their probability of winning and losers reinforce their probability of losing. This assumption, and subsequent models, were based on empirical data on primitively eusocial wasps (Polistes dominulus). By reanalyzing some of the experimental data that was previously thought to be irrelevant, we show that it is possible to distinguish this assumption from a competing assumption based on preexisting differences among individuals. We propose experiments to help discriminate between the two models---the self-organization model and the correlation model. We urge other researchers to be cautious when interpreting their dominance data with the "self-organization mindset": in particular, "winner and loser effects," which are often considered to give support to the self-organization assumption, are equally consistent with the correlation model. To appear in Bull. Math. Biol., June 1999.

Suggested Citation

  • Eric Bonabeau & Guy Theraulaz & Jean-Louis Deneubourg, 1999. "Dominance Orders in Animal Societies: The Self-Organization Hypothesis Revisited," Working Papers 99-01-007, Santa Fe Institute.
  • Handle: RePEc:wop:safiwp:99-01-007
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    Cited by:

    1. Gianluca Manzo & Delia Baldassarri, 2015. "Heuristics, Interactions, and Status Hierarchies," Sociological Methods & Research, , vol. 44(2), pages 329-387, May.
    2. Ivan D Chase & W Brent Lindquist, 2016. "The Fragility of Individual-Based Explanations of Social Hierarchies: A Test Using Animal Pecking Orders," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-16, July.
    3. Hu, Fei & Zhao, Shangmei & Bing, Tao & Chang, Yiming, 2017. "Hierarchy in industrial structure: The cases of China and the USA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 871-882.
    4. Tamás Nepusz & Tamás Vicsek, 2013. "Hierarchical Self-Organization of Non-Cooperating Individuals," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-9, December.

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