Collective learning and optimal consensus decisions in social animal groups.

Learning has been studied extensively in the context of isolated individuals. However, many organisms are social and consequently make decisions both individually and as part of a collective. Reaching consensus necessarily means that a single option is chosen by the group, even when there are dissen...

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Autores principales: Albert B Kao, Noam Miller, Colin Torney, Andrew Hartnett, Iain D Couzin
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2014
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Acceso en línea:https://doaj.org/article/e55a354893e346cd984d8b56b9095eb5
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spelling oai:doaj.org-article:e55a354893e346cd984d8b56b9095eb52021-11-25T05:40:53ZCollective learning and optimal consensus decisions in social animal groups.1553-734X1553-735810.1371/journal.pcbi.1003762https://doaj.org/article/e55a354893e346cd984d8b56b9095eb52014-08-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25101642/pdf/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Learning has been studied extensively in the context of isolated individuals. However, many organisms are social and consequently make decisions both individually and as part of a collective. Reaching consensus necessarily means that a single option is chosen by the group, even when there are dissenting opinions. This decision-making process decouples the otherwise direct relationship between animals' preferences and their experiences (the outcomes of decisions). Instead, because an individual's learned preferences influence what others experience, and therefore learn about, collective decisions couple the learning processes between social organisms. This introduces a new, and previously unexplored, dynamical relationship between preference, action, experience and learning. Here we model collective learning within animal groups that make consensus decisions. We reveal how learning as part of a collective results in behavior that is fundamentally different from that learned in isolation, allowing grouping organisms to spontaneously (and indirectly) detect correlations between group members' observations of environmental cues, adjust strategy as a function of changing group size (even if that group size is not known to the individual), and achieve a decision accuracy that is very close to that which is provably optimal, regardless of environmental contingencies. Because these properties make minimal cognitive demands on individuals, collective learning, and the capabilities it affords, may be widespread among group-living organisms. Our work emphasizes the importance and need for theoretical and experimental work that considers the mechanism and consequences of learning in a social context.Albert B KaoNoam MillerColin TorneyAndrew HartnettIain D CouzinPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 10, Iss 8, p e1003762 (2014)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Albert B Kao
Noam Miller
Colin Torney
Andrew Hartnett
Iain D Couzin
Collective learning and optimal consensus decisions in social animal groups.
description Learning has been studied extensively in the context of isolated individuals. However, many organisms are social and consequently make decisions both individually and as part of a collective. Reaching consensus necessarily means that a single option is chosen by the group, even when there are dissenting opinions. This decision-making process decouples the otherwise direct relationship between animals' preferences and their experiences (the outcomes of decisions). Instead, because an individual's learned preferences influence what others experience, and therefore learn about, collective decisions couple the learning processes between social organisms. This introduces a new, and previously unexplored, dynamical relationship between preference, action, experience and learning. Here we model collective learning within animal groups that make consensus decisions. We reveal how learning as part of a collective results in behavior that is fundamentally different from that learned in isolation, allowing grouping organisms to spontaneously (and indirectly) detect correlations between group members' observations of environmental cues, adjust strategy as a function of changing group size (even if that group size is not known to the individual), and achieve a decision accuracy that is very close to that which is provably optimal, regardless of environmental contingencies. Because these properties make minimal cognitive demands on individuals, collective learning, and the capabilities it affords, may be widespread among group-living organisms. Our work emphasizes the importance and need for theoretical and experimental work that considers the mechanism and consequences of learning in a social context.
format article
author Albert B Kao
Noam Miller
Colin Torney
Andrew Hartnett
Iain D Couzin
author_facet Albert B Kao
Noam Miller
Colin Torney
Andrew Hartnett
Iain D Couzin
author_sort Albert B Kao
title Collective learning and optimal consensus decisions in social animal groups.
title_short Collective learning and optimal consensus decisions in social animal groups.
title_full Collective learning and optimal consensus decisions in social animal groups.
title_fullStr Collective learning and optimal consensus decisions in social animal groups.
title_full_unstemmed Collective learning and optimal consensus decisions in social animal groups.
title_sort collective learning and optimal consensus decisions in social animal groups.
publisher Public Library of Science (PLoS)
publishDate 2014
url https://doaj.org/article/e55a354893e346cd984d8b56b9095eb5
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AT colintorney collectivelearningandoptimalconsensusdecisionsinsocialanimalgroups
AT andrewhartnett collectivelearningandoptimalconsensusdecisionsinsocialanimalgroups
AT iaindcouzin collectivelearningandoptimalconsensusdecisionsinsocialanimalgroups
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