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Collective enhancement of numerical acuity by meritocratic leadership in fish
It has been known for more than a century that interacting people can generally achieve more accurate decisions than single individuals. Here we show that interacting guppy fish (Poecilia reticulata) achieve a superior level of numerosity discrimination well beyond the average ability of the isolate...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3972498/ https://www.ncbi.nlm.nih.gov/pubmed/24691116 http://dx.doi.org/10.1038/srep04560 |
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author | Bisazza, Angelo Butterworth, Brian Piffer, Laura Bahrami, Bahador Petrazzini, Maria Elena Miletto Agrillo, Christian |
author_facet | Bisazza, Angelo Butterworth, Brian Piffer, Laura Bahrami, Bahador Petrazzini, Maria Elena Miletto Agrillo, Christian |
author_sort | Bisazza, Angelo |
collection | PubMed |
description | It has been known for more than a century that interacting people can generally achieve more accurate decisions than single individuals. Here we show that interacting guppy fish (Poecilia reticulata) achieve a superior level of numerosity discrimination well beyond the average ability of the isolated individual fish. This enhancement of numerical acuity was observed in dyadic interactions when (Experiment 1) the dyad chose which larger shoal of guppies to join and when (Experiment 2) the dyad chose the higher or the lower numerosity among two decision options after having learned the task individually. Dyadic accuracy and that of the more competent member of each dyad matched closely, supporting the hypothesis that meritocratic leadership arises spontaneously between dyadically interacting fish, rather than the ‘many wrongs' principle that has been used to explain group superiority in many species. |
format | Online Article Text |
id | pubmed-3972498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-39724982014-04-02 Collective enhancement of numerical acuity by meritocratic leadership in fish Bisazza, Angelo Butterworth, Brian Piffer, Laura Bahrami, Bahador Petrazzini, Maria Elena Miletto Agrillo, Christian Sci Rep Article It has been known for more than a century that interacting people can generally achieve more accurate decisions than single individuals. Here we show that interacting guppy fish (Poecilia reticulata) achieve a superior level of numerosity discrimination well beyond the average ability of the isolated individual fish. This enhancement of numerical acuity was observed in dyadic interactions when (Experiment 1) the dyad chose which larger shoal of guppies to join and when (Experiment 2) the dyad chose the higher or the lower numerosity among two decision options after having learned the task individually. Dyadic accuracy and that of the more competent member of each dyad matched closely, supporting the hypothesis that meritocratic leadership arises spontaneously between dyadically interacting fish, rather than the ‘many wrongs' principle that has been used to explain group superiority in many species. Nature Publishing Group 2014-04-02 /pmc/articles/PMC3972498/ /pubmed/24691116 http://dx.doi.org/10.1038/srep04560 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. The images in this article are included in the article's Creative Commons license, unless indicated otherwise in the image credit; if the image is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the image. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Article Bisazza, Angelo Butterworth, Brian Piffer, Laura Bahrami, Bahador Petrazzini, Maria Elena Miletto Agrillo, Christian Collective enhancement of numerical acuity by meritocratic leadership in fish |
title | Collective enhancement of numerical acuity by meritocratic leadership in fish |
title_full | Collective enhancement of numerical acuity by meritocratic leadership in fish |
title_fullStr | Collective enhancement of numerical acuity by meritocratic leadership in fish |
title_full_unstemmed | Collective enhancement of numerical acuity by meritocratic leadership in fish |
title_short | Collective enhancement of numerical acuity by meritocratic leadership in fish |
title_sort | collective enhancement of numerical acuity by meritocratic leadership in fish |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3972498/ https://www.ncbi.nlm.nih.gov/pubmed/24691116 http://dx.doi.org/10.1038/srep04560 |
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