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Interaction rates vital rates background fitness and replicator dynamics: how to embed evolutionary game structure into realistic population dynamics

机译:互动率生命率背景适应度和复制者动态:如何将进化的游戏结构嵌入现实的人口动态

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摘要

In this paper we are concerned with how aggregated outcomes of individual behaviours, during interactions with other individuals (games) or with environmental factors, determine the vital rates constituting the growth rate of the population. This approach needs additional elements, namely the rates of event occurrence (interaction rates). Interaction rates describe the distribution of the interaction events in time, which seriously affects the population dynamics, as is shown in this paper. This leads to the model of a population of individuals playing different games, where focal game affected by the considered trait can be extracted from the general model, and the impact on the dynamics of other events (which is not neutral) can be described by an average background fertility and mortality. This leads to a distinction between two types of background fitness, strategically neutral elements of the focal games (correlated with the focal game events) and the aggregated outcomes of other interactions (independent of the focal game). The new approach is useful for clarification of the biological meaning of concepts such as weak selection. Results are illustrated by a Hawk–Dove example.
机译:在本文中,我们关注的是在与其他人(游戏)或环境因素互动时,个人行为的合计结果如何确定构成人口增长率的生命率。这种方法需要其他要素,即事件发生率(交互率)。互动率描述了互动事件在时间上的分布,这严重影响了人口动态,如本文所示。这导致了一个玩不同游戏的个体的模型,可以从通用模型中提取受考虑特征影响的焦点游戏,而对其他事件(不是中立的)动态的影响可以用平均背景生育率和死亡率。这导致了两种类型的背景适应度之间的区别,即焦点游戏的战略中立元素(与焦点游戏事件相关)和其他互动的总结果(与焦点游戏无关)。新方法对于阐明弱选择等概念的生物学含义很有用。结果以Hawk-Dove示例为例。

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