Cited by 2,753Distributed Control Multi-Agent SystemsOpinion Dynamics and Social InfluenceAnimal Behavior and Reproduction

Effective leadership and decision-making in animal groups on the move

Couzin, Iain D., Krause, Jens, Franks, Nigel R., Levin, Simon A.·2005·Nature

Abstract

For animals that forage or travel in groups, making movement decisions often depends on social interactions among group members. However, in many cases, few individuals have pertinent information, such as knowledge about the location of a food source, or of a migration route. Using a simple model we show how information can be transferred within groups both without signalling and when group members do not know which individuals, if any, have information. We reveal that the larger the group the smaller the proportion of informed individuals needed to guide the group, and that only a very small proportion of informed individuals is required to achieve great accuracy. We also demonstrate how groups can make consensus decisions, even though informed individuals do not know whether they are in a majority or minority, how the quality of their information compares with that of others, or even whether there are any other informed individuals. Our model provides new insights into the mechanisms of effective leadership and decision-making in biological systems.

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  • School formation in pelagic fish has the clear advantage of favouring mate encounters.

    “School formation in pelagic fish is typically considered an antipredation (Pitcher, 1986) or a navigational (Couzin et al., 2005) strategy, but it also has the clear advantage of favouring mate encounters.”

    From Evolutionary and ecological constraints of fish spawning habitats (2015) · cites this paper as Couzin et al., 2005

  • Machine learning as a design methodology suffers from problems associated with the automatic design of robot swarms, additional constraints of online learning by trial and error, episodic rewards, and coordination problems.

    “Machine learning as a design methodology suffers from the problems associated with the automatic design of robot swarms [44], with the additional constraints given by online learning of behaviors by trial and error [93], with episodic rewards and coordination problems.”

    From Swarm Robotics: Past, Present, and Future [Point of View] (2021) · cites this paper as [93]

    The cited paper’s discussion (p. 3) describes a model of coordination in moving animal groups and suggests it may inform the design of grouping robots. It does not address online machine learning by trial and error or episodic rewards; searches for those terms found no supporting passage. In the citing sentence, the citation to this paper is attached specifically to the online-learning constraint. (LLM, conf=0.78)

    Experimental — accuracy not yet measured
  • Unconfident people tend to increase their own confidence after interacting with a very confident person, creating a basin of attraction around that person's opinion.

    “Second, unconfident people tend to increase their own confidence after interacting with a very confident person, creating a basin of attraction around that person’s opinion [38], [39].”

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Authors
Couzin, I. D., Krause, J., Franks, N. R., & Levin, S. A.
Affiliations
  • Princeton University (US)
  • University of Leeds (GB)
  • University of Bristol (GB)
Corresponding author
Couzin, Iain D.
Venue
Nature
Published
2005-02
Volume
433
Issue
7025
Pages
513-516
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W1975318518
Cited by
2,753
References
24
Citations by year
2026: 122 · 2025: 129 · 2024: 120 · 2023: 118 · 2022: 140 · 2021: 146 · 2020: 158 · 2019: 144 · 2018: 139 · 2017: 140 · 2016: 154 · 2015: 165 · 2014: 154 · 2013: 172 · 2012: 159
FWCI
76.00
Type
journal article
Language
en
Open access
closed
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • KOPS (University of Konstanz) (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
  • Bristol Research (University of Bristol) (submittedVersion)
Funders
Engineering and Physical Sciences Research Council (GR/T11241/01)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Distributed Control Multi-Agent Systems
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
  • Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Animal Behavior and Reproduction
Keywords
group decision making, consensus building, animal group movement, group size, numerical simulation, fish schooling, jack mackerel, swarm robotics
MeSH terms
Animals, Animal Communication, Behavior, Animal, Decision Making, Feeding Behavior, Group Processes, Leadership, Locomotion, Models, Biological, Population Density, Animal Migration

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