蜂群巢址选择的独立性和相互依赖性：基于主体的模型、分析方法和模式形成
Independence and interdependence in the nest-site choice by honeybee swarms: agent-based models, analytical approaches and pattern formation
摘要：
在最近的一篇论文中，Elsholtz和Seeley [Phil.翻译罗伊。Soc. B. 364（2009）755]设计了一个基于代理的蜜蜂群巢选择动态模型，并得出结论，蜜蜂需要相互依赖和独立性才能就最佳巢址达成共识。在这里，我们提出了一个简化版本的模型，可以处理与统计物理的工具，在很大程度上具有相同的功能，作为原来的动力学分析。基于我们的分析方法，它是可能的协调结果的特征完全确定性的水平上，一个很好的近似，如果考虑到随机效应，减少了对基于代理的计算机模拟的需要。在本文的第二部分中，我们提出了一个空间扩展，并表明，瞬态非平凡的模式出现，达成共识之前。讨论了用朗之万方程求解连续场变量的方法。
英文摘要：
In a recent paper List, Elsholtz and Seeley [Phil. Trans. Roy. Soc. B. 364 (2009) 755] have devised an agent-based model of the the nest-choice dynamics in swarms of honeybees, and have concluded that both interdependence and independence are needed for the bees to reach a consensus on the best nest site. We here present a simplified version of the model which can be treated analytically with the tools of statistical physics and which largely has the same features as the original dynamics. Based on our analytical approaches it is possible to characterize the co-ordination outcome exactly on the deterministic level, and to a good approximation if stochastic effects are taken into account, reducing the need for computer simulations on the agent-based level. In the second part of the paper we present a spatial extension, and show that transient non-trivial patterns emerge, before consensus is reached. Approaches in terms of Langevin equations for continuous field variables are discussed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
