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由于人口统计学随机性,群体规模和劳动力需求决定了劳动分工。

Group size and labour demands determine division of labour as a consequence of demographic stochasticity.

作者信息

Netz Christoph, Fawcett Tim W, Higginson Andrew D, Taborsky Michael, Taborsky Barbara

机构信息

Behavioural Ecology Division, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.

Centre for Research in Animal Behaviour (CRAB), University of Exeter, Exeter, UK.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2025 Mar 20;380(1922):20240206. doi: 10.1098/rstb.2024.0206.

Abstract

Division of labour (DoL) is most prominently observed in eusocial insects but also occurs in much smaller cooperative groups where all individuals could potentially perform any task. In such groups, previous experience and learning are the most important mechanisms underlying specialization. Using behavioural simulations, we investigate the dynamics of task specialization in groups of various sizes and with different constraints on the choice of task. We assume that individuals choose tasks by weighing their own competence to perform a task against the group requirement of how much that task needs to be performed. We find that task specialization occurs even if individuals choose tasks based solely on the group's needs rather than their own competence. As large groups are less affected by demographic stochasticity, they can more accurately distribute labour across tasks, and individuals become more effective due to a reduced need to switch between tasks. This effect is enhanced if groups must perform a larger number of tasks. However, from an evolutionary point of view, individuals in larger groups develop a greater responsiveness to group requirements than those in small groups when labour variation carries a fitness penalty and thus will more readily switch between tasks. Small groups thus seem less able to distribute labour optimally over tasks through increased switching, and therefore evolve to ignore task imbalances up to a higher level before the threshold to switch between tasks is crossed. Further, we find that selection on learning ability is stronger in small than in large groups. We conclude that the reason why DoL may emerge more readily in large groups might not be due to a group-size effect on optimal decision-making, but rather because of a lower degree of variation of the labour distribution as a consequence of demographic stochasticity.This article is part of the theme issue 'Division of labour as key driver of social evolution'.

摘要

劳动分工(DoL)在群居昆虫中最为显著,但也出现在规模小得多的合作群体中,在这些群体中所有个体都有可能执行任何任务。在这样的群体中,先前的经验和学习是专业化背后最重要的机制。我们通过行为模拟研究了不同规模群体以及任务选择受到不同限制时任务专业化的动态变化。我们假设个体通过权衡自己执行某项任务的能力与群体对该任务执行量的需求来选择任务。我们发现,即使个体仅根据群体需求而非自身能力来选择任务,任务专业化也会出现。由于大群体受人口统计学随机性的影响较小,它们能够更准确地在各项任务间分配劳动力,并且由于在任务间切换的需求减少,个体变得更高效。如果群体必须执行更多任务,这种效果会增强。然而,从进化的角度来看,当劳动力差异带来适应性代价时,大群体中的个体比小群体中的个体对群体需求的反应更强烈,因此会更愿意在任务间切换。因此,小群体似乎不太能够通过增加切换来在各项任务间最优地分配劳动力,所以在达到任务切换阈值之前,它们会在更高程度上忽略任务不平衡。此外,我们发现对学习能力的选择在小群体中比在大群体中更强。我们得出结论,劳动分工在大群体中可能更容易出现的原因,可能不是由于群体规模对最优决策的影响,而是由于人口统计学随机性导致劳动力分配的变化程度较低。本文是主题为“劳动分工是社会进化的关键驱动力”的一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76a6/11923606/4b653ac414cc/rstb.2024.0206.f001.jpg

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