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Quorums enable optimal pooling of independent judgements in biological systems

Collective decision-making is ubiquitous, and majority-voting and the Condorcet Jury Theorem pervade thinking about collective decision-making. Thus, it is typically assumed that majority-voting is the best possible decision mechanism, and that scenarios exist where individually-weak decision-makers...

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Detalles Bibliográficos
Autores principales: Marshall, James AR, Kurvers, Ralf HJM, Krause, Jens, Wolf, Max
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374072/
https://www.ncbi.nlm.nih.gov/pubmed/30758288
http://dx.doi.org/10.7554/eLife.40368
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author Marshall, James AR
Kurvers, Ralf HJM
Krause, Jens
Wolf, Max
author_facet Marshall, James AR
Kurvers, Ralf HJM
Krause, Jens
Wolf, Max
author_sort Marshall, James AR
collection PubMed
description Collective decision-making is ubiquitous, and majority-voting and the Condorcet Jury Theorem pervade thinking about collective decision-making. Thus, it is typically assumed that majority-voting is the best possible decision mechanism, and that scenarios exist where individually-weak decision-makers should not pool information. Condorcet and its applications implicitly assume that only one kind of error can be made, yet signal detection theory shows two kinds of errors exist, ‘false positives’ and ‘false negatives’. We apply signal detection theory to collective decision-making to show that majority voting is frequently sub-optimal, and can be optimally replaced by quorum decision-making. While quorums have been proposed to resolve within-group conflicts, or manage speed-accuracy trade-offs, our analysis applies to groups with aligned interests undertaking single-shot decisions. Our results help explain the ubiquity of quorum decision-making in nature, relate the use of sub- and super-majority quorums to decision ecology, and may inform the design of artificial decision-making systems. Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed (see decision letter).
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spelling pubmed-63740722019-02-15 Quorums enable optimal pooling of independent judgements in biological systems Marshall, James AR Kurvers, Ralf HJM Krause, Jens Wolf, Max eLife Ecology Collective decision-making is ubiquitous, and majority-voting and the Condorcet Jury Theorem pervade thinking about collective decision-making. Thus, it is typically assumed that majority-voting is the best possible decision mechanism, and that scenarios exist where individually-weak decision-makers should not pool information. Condorcet and its applications implicitly assume that only one kind of error can be made, yet signal detection theory shows two kinds of errors exist, ‘false positives’ and ‘false negatives’. We apply signal detection theory to collective decision-making to show that majority voting is frequently sub-optimal, and can be optimally replaced by quorum decision-making. While quorums have been proposed to resolve within-group conflicts, or manage speed-accuracy trade-offs, our analysis applies to groups with aligned interests undertaking single-shot decisions. Our results help explain the ubiquity of quorum decision-making in nature, relate the use of sub- and super-majority quorums to decision ecology, and may inform the design of artificial decision-making systems. Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed (see decision letter). eLife Sciences Publications, Ltd 2019-02-13 /pmc/articles/PMC6374072/ /pubmed/30758288 http://dx.doi.org/10.7554/eLife.40368 Text en © 2019, Marshall et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Ecology
Marshall, James AR
Kurvers, Ralf HJM
Krause, Jens
Wolf, Max
Quorums enable optimal pooling of independent judgements in biological systems
title Quorums enable optimal pooling of independent judgements in biological systems
title_full Quorums enable optimal pooling of independent judgements in biological systems
title_fullStr Quorums enable optimal pooling of independent judgements in biological systems
title_full_unstemmed Quorums enable optimal pooling of independent judgements in biological systems
title_short Quorums enable optimal pooling of independent judgements in biological systems
title_sort quorums enable optimal pooling of independent judgements in biological systems
topic Ecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374072/
https://www.ncbi.nlm.nih.gov/pubmed/30758288
http://dx.doi.org/10.7554/eLife.40368
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