Alternative model systems for cognitive variation: eusocial-insect colonies

Navas-Zuloaga, M. Gabriela; Pavlic, Theodore P.; Smith, Brian H.

doi:10.1016/j.tics.2022.06.011

Cited by 4 publications

(2 citation statements)

References 91 publications

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“…We can often study the development history and the interactions of actors within such systems with higher precision than we are able to study human cognitive development over the lifespan or interactions of neurons in our brains. Moreover, intelligent groups often involve dyads, tens, or hundreds of actors, which enables the development of models and tools in a manageable context that is less challenged by scale than studying the human brain involving interactions of billions of cells (Navas-Zuloaga, Pavlic & Smith, 2022).…”

Section: Cognitive Science Of Augmented Intelligence: Whymentioning

confidence: 99%

Cognitive Science of Augmented Intelligence

2022

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Cognitive science has been traditionally organized around the individual as the basic unit of cognition. Despite developments in areas such as communication, human–machine interaction, group behavior, and community organization, the individual‐centric approach heavily dominates both cognitive research and its application. A promising direction for cognitive science is the study of augmented intelligence, or the way social and technological systems interact with and extend individual cognition. The cognitive science of augmented intelligence holds promise in helping society tackle major real‐world challenges that can only be discovered and solved by teams made of individuals and machines with complementary skills who can productively collaborate with each other.

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Section: Cognitive Science Of Augmented Intelligence: Whymentioning

confidence: 99%

Cognitive Science of Augmented Intelligence

2022

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“…The honey bee ( Apis mellifera ) is a well‐known eusocial insect characterised by a distinct division of labour among different groups in a colony (Navas‐Zuloaga et al, 2022). Sterile worker bees exhibit an age‐dependent division of labour, with newly emerged workers (NEs) (0 days old) transitioning into nursing behaviour in the early adult stage (6–15 days old), followed by foraging for food such as pollen, nectar, water or other resources outside the hive at 18–25 days old.…”

Section: Introductionmentioning

confidence: 99%

Transcriptome analysis of Apis mellifera antennae reveals molecular divergence underlying the division of labour in worker bees

Liu,

Xu,

Zhang

2023

Insect Molecular Biology

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The olfactory system plays a fundamental role in mediating insect behaviour. Worker bees exhibit an age‐dependent division of labour, performing discrete sets of behaviours throughout their lifespan. The behavioural states of bees rely on their sense of the environment and chemical communication via their olfactory system, the antennae. However, the olfactory adaptation mechanism of worker bees during their behavioural development remains unclear. In this study, we conducted a comprehensive and quantitative analysis of antennal gene expression in the Apis mellifera of newly emerged workers, nurses, foragers and defenders using RNA‐seq. We found that the antenna tissues of honey bees continued developing after transformation from newly emerged workers to adults. Additionally, we identified differentially expressed genes associated with bee development and division of labour. We validated that major royal jelly protein genes are highly and specifically expressed in nurse honey bee workers. Furthermore, we identified and validated significant alternative splicing events correlated with the development and division of labour. These findings provide a comprehensive transcriptome profile and a new perspective on the molecular mechanisms that may underlie the worker honey bee division of labour.

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Inhibitory signaling in collective social insect networks, is it indeed uncommon?

Goldberg,

Bloch

2023

Current Opinion in Insect Science

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Alternative model systems for cognitive variation: eusocial-insect colonies

Cited by 4 publications

References 91 publications

Cognitive Science of Augmented Intelligence

Cognitive Science of Augmented Intelligence

Transcriptome analysis of Apis mellifera antennae reveals molecular divergence underlying the division of labour in worker bees

Inhibitory signaling in collective social insect networks, is it indeed uncommon?

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