Department of Applied Mathematics, University of Colorado, Boulder, CO, USA.
J Math Biol. 2021 Jul 29;83(2):20. doi: 10.1007/s00285-021-01644-9.
Honey bees make decisions regarding foraging and nest-site selection in groups ranging from hundreds to thousands of individuals. To effectively make these decisions, bees need to communicate within a spatially distributed group. However, the spatiotemporal dynamics of honey bee communication have been mostly overlooked in models of collective decisions, focusing primarily on mean field models of opinion dynamics. We analyze how the spatial properties of the nest or hive, and the movement of individuals with different belief states (uncommitted or committed) therein affect the rate of information transmission using spatially-extended models of collective decision-making within a hive. Honeybees waggle-dance to recruit conspecifics with an intensity that is a threshold nonlinear function of the waggler concentration. Our models range from treating the hive as a chain of discrete patches to a continuous line (long narrow hive). The combination of population-thresholded recruitment and compartmentalized populations generates tradeoffs between rapid information propagation with strong population dispersal and recruitment failures resulting from excessive population diffusion and also creates an effective colony-level signal-detection mechanism whereby recruitment to low quality objectives is blocked.
蜜蜂在从数百到数千只个体组成的群体中做出觅食和巢址选择的决策。为了有效地做出这些决策,蜜蜂需要在空间分布的群体中进行通信。然而,在群体决策的模型中,蜜蜂的通信时空动态大多被忽视,主要集中在意见动态的平均场模型上。我们分析了巢或蜂巢的空间特性,以及具有不同信念状态(未承诺或承诺)的个体在其中的运动如何影响信息传递的速度,方法是使用蜂巢内的集体决策的空间扩展模型。蜜蜂通过摆动舞来招募同种个体,其强度是摇摆者浓度的阈值非线性函数。我们的模型范围从将蜂巢视为离散斑块的链到连续线(狭长的蜂巢)。种群阈值招募和分隔种群的组合在快速信息传播与强烈的种群扩散之间产生了权衡,同时也产生了由于过度的种群扩散而导致的招募失败,并且还创建了一个有效的群体级信号检测机制,从而阻止了对低质量目标的招募。