Evidence map›Paper›PMID 31006371›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2019

Modular structure within groups causes information loss but can improve decision accuracy.

Albert B Kao, Iain D Couzin

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Beyond collective intelligence: Collective adaptation.Journal of the Royal Society, Interface · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. The diversity bonus in pooling local knowledge about complex problems.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. How does mobility help distributed systems compute?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  15. Liquid brains, solid brains.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Albert B Kao1 Santa Fe Institute , Santa Fe, NM 87501 , USA.
Iain D Couzin2 Department of Collective Behaviour, Max Planck Institute for Ornithology , 78464 Konstanz , Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many animal groups exhibit signatures of persistent internal modular structure, whereby individuals consistently interact with certain groupmates more than others. In such groups, information relevant to a collective decision may spread unevenly through the group, but how this impacts the quality of the resulting decision is not well understood. Here, we explicitly model modularity within animal groups and examine how it affects the amount of information represented in collective decisions, as well as the accuracy of those decisions. We find that modular structure necessarily causes a loss of information, effectively silencing the input from a fraction of the group. However, the effect of this information loss on collective accuracy depends on the informational environment in which the decision is made. In simple environments, the information loss is detrimental to collective accuracy. By contrast, in complex environments, modularity tends to improve accuracy. This is because small group sizes typically maximize collective accuracy in such environments, and modular structure allows a large group to behave like a smaller group (in terms of its decision-making). These results suggest that in naturalistic environments containing correlated information, large animal groups may be able to exploit modular structure to improve decision accuracy while retaining other benefits of large group size. This article is part of the theme issue 'Liquid brains, solid brains: How distributed cognitive architectures process information'.

Indexed as

Animal CommunicationDecision MakingSocial BehaviorAnimalsInformation DisseminationModels, Biologicalcollective behaviourcollective decision-makinginformation correlationmodular structuresubgrouping

Identifiers

PMID31006371
PMCPMC6553586

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.