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Costs of Environmental Fluctuations and Benefits of Dynamic Decentralized Foraging Decisions in Honey Bees

机译：蜜蜂的环境波动成本和动态分散觅食决策的收益

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Honey bees show the impressive ability to choose collectively (through swarm intelligence) between nectar sources of different quality by selecting the energetically optimal one. We here present results from a multi-agent simulation of a cohort of foraging bees. The model, which is built on proximate individual mechanisms, leads to interesting results on the (global) colony level. The simulation allows us to investigate collective foraging decisions in a variety of experimental setups that can be reproduced experimentally with real bees. Because our model allows us to project the daily net honey gain of the simulated honey bee colony, it enables us to explore the economic results of foraging decisions, even in a fluctuating environment. We used the model to investigate the dynamics and efficiency of a bee colony's decentralized decision system in terms of minimizing the potential cost of lost nectar income due to changes in food quality in a fluctuating environment.
机译：蜜蜂表现出令人印象深刻的能力，即通过选择能量最佳的蜂群，通过群体智能在不同质量的花蜜源之间进行集体选择。我们在这里展示了一群觅食蜜蜂的多智能体模拟结果。该模型建立在最接近的个体机制之上，在（全球）菌落水平上产生了有趣的结果。通过模拟，我们可以研究各种实验设置中的集体觅食决策，这些实验设置可以用真实的蜜蜂通过实验再现。因为我们的模型使我们能够预测模拟蜂群的每日净蜂蜜收益，所以即使在波动的环境中，它也使我们能够探索觅食决策的经济结果。我们使用该模型来研究蜂群去中心化决策系统的动态和效率，以最大程度地减少由于波动环境中的食品质量变化而导致的花蜜收入损失的潜在成本。

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