Hive geometry shapes the recruitment rate of honeybee colonies

Bidari, Subekshya; Kilpatrick, Zachary P.

doi:10.1007/s00285-021-01644-9

Cited by 2 publications

(2 citation statements)

References 42 publications

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“…In nature, ants’ nests are typically composed of multiple chambers ( Tschinkel, 2004 ; Tschinkel, 2005 ; Heyman et al, 2017 ), thus the nest-ant distribution is more clustered and organized than in the artificial single-chamber nest that was used in our experiments ( Fard et al, 2020 ). Accordingly, it may be that nest architecture will affect the sampling characteristics of the foragers, and consequently their foraging frequency ( Pinter-Wollman, 2015 ; Bidari and Kilpatrick, 2021 ). Other factors that may affect the forager’s sample include the number of nest entrances ( Lehue et al, 2020 ; Mitrus, 2021 ), the density of ants in the nest, and the topology of the colony’s trophallactic network ( Sendova-Franks et al, 2010 , Wikle et al, 2019 ; Quque et al, 2021 ; Bles et al, 2018 ; Planckaert et al, 2019 , Mersch et al, 2013 ; Quevillon et al, 2015 ; Stroeymeyt et al, 2018 ; Alciatore et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Emergent regulation of ant foraging frequency through a computationally inexpensive forager movement rule

Baltiansky

Frankel

Feinerman

2023

eLife

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Ant colonies regulate foraging in response to their collective hunger, yet the mechanism behind this distributed regulation remains unclear. Previously, by imaging food flow within ant colonies we showed that the frequency of foraging events declines linearly with colony satiation (Greenwald et al., 2018). Our analysis implied that as a forager distributes food in the nest, two factors affect her decision to exit for another foraging trip: her current food load and its rate of change. Sensing these variables can be attributed to the forager’s individual cognitive ability. Here, new analyses of the foragers’ trajectories within the nest imply a different way to achieve the observed regulation. Instead of an explicit decision to exit, foragers merely tend toward the depth of the nest when their food load is high and toward the nest exit when it is low. Thus, the colony shapes the forager’s trajectory by controlling her unloading rate, while she senses only her current food load. Using an agent-based model and mathematical analysis, we show that this simple mechanism robustly yields emergent regulation of foraging frequency. These findings demonstrate how the embedding of individuals in physical space can reduce their cognitive demands without compromising their computational role in the group.

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Section: Discussionmentioning

confidence: 99%

Emergent regulation of ant foraging frequency through a computationally inexpensive forager movement rule

Baltiansky

Frankel

Feinerman

2023

eLife

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“…In nature, ants’ nests are typically composed of multiple chambers ([46]-[48]), thus the nest-ant distribution is more clustered and organized than in the artificial single-chamber nest that was used in our experiments ([49]). Accordingly, it may be that nest architecture will affect the sampling characteristics of the foragers, and consequently their foraging frequency ([50], [51]). Other factors that may affect the forager’s sample include the number of nest entrances ([52], [53]), the density of ants in the nest, and the topology of the colony’s trophallactic network ([9], [14]–[17], [54]–[57]).…”

Section: Discussionmentioning

confidence: 99%

Emergent regulation of ant foraging frequency through a computationally inexpensive forager movement rule

Baltiansky

Frankel

Feinerman

2022

Preprint

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Ant colonies regulate foraging in response to their collective hunger, yet the mechanism behind this distributed regulation remains unclear. Previously, by imaging food flow within ant colonies we showed that the frequency of foraging events declines linearly with colony satiation (Greenwald, Baltiansky & Feinerman, 2018). Our analysis implied that as a forager distributes food in the nest, two factors affect her decision to exit for another foraging trip: her current food load and its rate of change. Sensing these variables can be attributed to the forager's individual cognitive ability. Here, new analyses of the foragers' trajectories within the nest imply a different way to achieve the observed regulation. Instead of an explicit decision to exit, foragers merely tend toward the depth of the nest when their food load is high and toward the nest exit when it is low. Thus, the colony shapes the forager's trajectory by controlling her unloading rate, while she senses only her current food load. Using an agent-based model and mathematical analysis, we show that this simple mechanism robustly yields emergent regulation of foraging frequency. These findings demonstrate how the embedding of individuals in physical space can reduce their cognitive demands without compromising their computational role in the group.

show abstract

Hive geometry shapes the recruitment rate of honeybee colonies

Cited by 2 publications

References 42 publications

Emergent regulation of ant foraging frequency through a computationally inexpensive forager movement rule

Emergent regulation of ant foraging frequency through a computationally inexpensive forager movement rule

Emergent regulation of ant foraging frequency through a computationally inexpensive forager movement rule

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