Costs of Environmental Fluctuations and Benefits of Dynamic Decentralized Foraging Decisions in Honey Bees
Costs of Environmental Fluctuations and Benefits of Dynamic Decentralized Foraging Decisions in Honey Bees
复制标题
环境波动的成本和蜜蜂动态分散觅食决策的好处
作者：
T. Schmickl;K. Crailsheim
蜜蜂展示了令人印象深刻的能力，通过选择能量最优的花蜜来源，在不同质量的花蜜来源之间进行集体选择（通过群体智慧）。在这里，我们提出了一个多智能体模拟的一群觅食蜜蜂的结果。该模型，这是建立在接近个人的机制，导致有趣的结果（全球）殖民地的水平。模拟使我们能够调查集体觅食的决定，在各种实验设置，可以复制实验与真实的蜜蜂。由于我们的模型允许我们预测模拟蜜蜂群体的每日净增蜜量，因此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的分散决策系统的动态和效率，以最大限度地减少由于波动环境中食物质量变化而导致的花蜜收入损失的潜在成本。
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.