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...

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Published in:eLife
Main Authors: HaDi MaBouDi, James AR Marshall, Neville Dearden, Andrew B Barron
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2023-06-01
Subjects:
Online Access:https://elifesciences.org/articles/86176
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author HaDi MaBouDi
James AR Marshall
Neville Dearden
Andrew B Barron
author_facet HaDi MaBouDi
James AR Marshall
Neville Dearden
Andrew B Barron
author_sort HaDi MaBouDi
collection DOAJ
container_title eLife
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.
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spelling doaj-art-dacaa213bcc047ff87cd6b3d2dce4c192025-08-19T22:20:36ZengeLife Sciences Publications LtdeLife2050-084X2023-06-011210.7554/eLife.86176How honey bees make fast and accurate decisionsHaDi MaBouDi0https://orcid.org/0000-0002-7612-6465James AR Marshall1https://orcid.org/0000-0002-1506-167XNeville Dearden2Andrew B Barron3https://orcid.org/0000-0002-8135-6628Department of Computer Science, University of Sheffield, Sheffield, United Kingdom; Sheffield Neuroscience Institute, University of Sheffield, Sheffield, United KingdomDepartment of Computer Science, University of Sheffield, Sheffield, United Kingdom; Sheffield Neuroscience Institute, University of Sheffield, Sheffield, United KingdomDepartment of Computer Science, University of Sheffield, Sheffield, United KingdomDepartment of Computer Science, University of Sheffield, Sheffield, United Kingdom; School of Natural Sciences, Macquarie University, North Ryde, AustraliaHoney 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.https://elifesciences.org/articles/86176action selectiondecision-makingforagingmushroom bodiessequential sampling modelprotocerebrum
spellingShingle HaDi MaBouDi
James AR Marshall
Neville Dearden
Andrew B Barron
How honey bees make fast and accurate decisions
action selection
decision-making
foraging
mushroom bodies
sequential sampling model
protocerebrum
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 action selection
decision-making
foraging
mushroom bodies
sequential sampling model
protocerebrum
url https://elifesciences.org/articles/86176
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