Carmel Yohay, Ben-Haim Yakov
Faculty of Civil and Environmental Engineering, Technion, Israel Institute of Technology, Haifa 32000, Israel.
Am Nat. 2005 Nov;166(5):633-41. doi: 10.1086/491691. Epub 2005 Sep 9.
In this note we compare two mathematical models of foraging that reflect two competing theories of animal behavior: optimizing and robust satisficing. The optimal-foraging model is based on the marginal value theorem (MVT). The robust-satisficing model developed here is an application of info-gap decision theory. The info-gap robust-satisficing model relates to the same circumstances described by the MVT. We show how these two alternatives translate into specific predictions that at some points are quite disparate. We test these alternative predictions against available data collected in numerous field studies with a large number of species from diverse taxonomic groups. We show that a large majority of studies appear to support the robust-satisficing model and reject the optimal-foraging model.
在本笔记中,我们比较了两种觅食数学模型,它们反映了两种相互竞争的动物行为理论:最优化和稳健满意化。最优觅食模型基于边际价值定理(MVT)。这里开发的稳健满意化模型是信息间隙决策理论的一种应用。信息间隙稳健满意化模型与MVT所描述的相同情况相关。我们展示了这两种模型如何转化为在某些方面截然不同的具体预测。我们用从众多不同分类群的物种的大量实地研究中收集的现有数据来检验这些不同的预测。我们表明,绝大多数研究似乎支持稳健满意化模型而拒绝最优觅食模型。