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...
| Published in: | eLife |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
eLife Sciences Publications Ltd
2023-06-01
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| Subjects: | |
| Online Access: | https://elifesciences.org/articles/86176 |
| _version_ | 1851861074921390080 |
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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. |
| format | Article |
| id | doaj-art-dacaa213bcc047ff87cd6b3d2dce4c19 |
| institution | Directory of Open Access Journals |
| issn | 2050-084X |
| language | English |
| publishDate | 2023-06-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| 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 |
| work_keys_str_mv | AT hadimaboudi howhoneybeesmakefastandaccuratedecisions AT jamesarmarshall howhoneybeesmakefastandaccuratedecisions AT nevilledearden howhoneybeesmakefastandaccuratedecisions AT andrewbbarron howhoneybeesmakefastandaccuratedecisions |
