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How honey bees make fast and accurate decisions
Honey bee ecology demands they make both rapid and accurate assessments of which flowers are most likely to offer them nectar or pollen. To understand the mechanisms of honey bee decision-making, we examined their speed and accuracy of both flower acceptance and rejection decisions. We used a contro...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299826/ https://www.ncbi.nlm.nih.gov/pubmed/37365884 http://dx.doi.org/10.7554/eLife.86176 |
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author | MaBouDi, HaDi Marshall, James AR Dearden, Neville Barron, Andrew B |
author_facet | MaBouDi, HaDi Marshall, James AR Dearden, Neville Barron, Andrew B |
author_sort | MaBouDi, HaDi |
collection | PubMed |
description | Honey bee ecology demands they make both rapid and accurate assessments of which flowers are most likely to offer them nectar or pollen. To understand the mechanisms of honey bee decision-making, we examined their speed and accuracy of both flower acceptance and rejection decisions. We used a controlled flight arena that varied both the likelihood of a stimulus offering reward and punishment and the quality of evidence for stimuli. We found that the sophistication of honey bee decision-making rivalled that reported for primates. Their decisions were sensitive to both the quality and reliability of evidence. Acceptance responses had higher accuracy than rejection responses and were more sensitive to changes in available evidence and reward likelihood. Fast acceptances were more likely to be correct than slower acceptances; a phenomenon also seen in primates and indicative that the evidence threshold for a decision changes dynamically with sampling time. To investigate the minimally sufficient circuitry required for these decision-making capacities, we developed a novel model of decision-making. Our model can be mapped to known pathways in the insect brain and is neurobiologically plausible. Our model proposes a system for robust autonomous decision-making with potential application in robotics. |
format | Online Article Text |
id | pubmed-10299826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-102998262023-06-28 How honey bees make fast and accurate decisions MaBouDi, HaDi Marshall, James AR Dearden, Neville Barron, Andrew B eLife Computational and Systems Biology Honey bee ecology demands they make both rapid and accurate assessments of which flowers are most likely to offer them nectar or pollen. To understand the mechanisms of honey bee decision-making, we examined their speed and accuracy of both flower acceptance and rejection decisions. We used a controlled flight arena that varied both the likelihood of a stimulus offering reward and punishment and the quality of evidence for stimuli. We found that the sophistication of honey bee decision-making rivalled that reported for primates. Their decisions were sensitive to both the quality and reliability of evidence. Acceptance responses had higher accuracy than rejection responses and were more sensitive to changes in available evidence and reward likelihood. Fast acceptances were more likely to be correct than slower acceptances; a phenomenon also seen in primates and indicative that the evidence threshold for a decision changes dynamically with sampling time. To investigate the minimally sufficient circuitry required for these decision-making capacities, we developed a novel model of decision-making. Our model can be mapped to known pathways in the insect brain and is neurobiologically plausible. Our model proposes a system for robust autonomous decision-making with potential application in robotics. eLife Sciences Publications, Ltd 2023-06-27 /pmc/articles/PMC10299826/ /pubmed/37365884 http://dx.doi.org/10.7554/eLife.86176 Text en © 2023, MaBouDi et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology MaBouDi, HaDi Marshall, James AR Dearden, Neville Barron, Andrew B How honey bees make fast and accurate decisions |
title | How honey bees make fast and accurate decisions |
title_full | How honey bees make fast and accurate decisions |
title_fullStr | How honey bees make fast and accurate decisions |
title_full_unstemmed | How honey bees make fast and accurate decisions |
title_short | How honey bees make fast and accurate decisions |
title_sort | how honey bees make fast and accurate decisions |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299826/ https://www.ncbi.nlm.nih.gov/pubmed/37365884 http://dx.doi.org/10.7554/eLife.86176 |
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