Evidence map›Paper›PMID 33779857›Full record

ArticleJournal of mathematical biology2021

Dynamics of task allocation in social insect colonies: scaling effects of colony size versus work activities.

Tao Feng, Daniel Charbonneau, Zhipeng Qiu, Yun Kang

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Article in Journal of mathematical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Tao FengDepartment of Mathematics, Nanjing University of Science and Technology, Nanjing, 210094, People's Republic of China.
Daniel CharbonneauSchool of Life Sciences, Arizona State University, Tempe, AZ, 85287, USA.
Zhipeng QiuDepartment of Mathematics, Nanjing University of Science and Technology, Nanjing, 210094, People's Republic of China.
Yun KangSciences and Mathematics Faculty, College of Integrative Sciences and Arts, Arizona State University, Mesa, AZ, 85212, USA. yun.kang@asu.edu.ORCID 0000-0001-5448-7609

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanisms through which work is organized are central to understanding how complex systems function. Previous studies suggest that task organization can emerge via nonlinear dynamical processes wherein individuals interact and modify their behavior through simple rules. However, there is very limited theory about how those processes are shaped by behavioral variation within social groups. In this work, we propose an adaptive modeling framework on task allocation by incorporating variation both in task performance and task-related metabolic rates. We study the scaling effects of colony size on the resting probability as well as task allocation. We also numerically explore the effects of stochastic noise on task allocation in social insect colonies. Our theoretical and numerical results show that: (a) changes in colony size can regulate the probability of colony resting and the allocation of tasks, and the direction of regulation depends on the nonlinear metabolic scaling effects of tasks; (b) increased response thresholds may cause colonies to rest in varied patterns such as periodicity. In this case, we observed an interesting bubble phenomenon in the task allocation of social insect colonies for the first time; (c) stochastic noise can cause work activities and task demand to fluctuate within a range, where the amplitude of the fluctuation is positively correlated with the intensity of noise.

Indexed as

Behavior, AnimalInsectaModels, BiologicalAnimalsPopulation DensitySocial BehaviorAdaptive stimulusColony sizeEnvironmental noisesMetabolic rateRestingSocial insectsTask allocation

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.