POPULATION GENETICS OF INTERACTIONS

拟议研究的总体目标是制定一个统一的 建立在公理基础上的种内相互作用的进化理论 人口遗传学。 大多数人类疾病、病原体和寄生虫 在社会交往中传播。 待发展的理论研究 这些相互作用对生物适应性的影响 并预测这些影响是如何演变的。 五个具体 提出的项目都与这一总主题有关。 首先，由于 许多社会团体都很小，以家庭为中心， 延伸的亲属关系（这是最近最肯定的事实） 人类物种的进化历史），有限人口的影响 大小对相互作用演变的影响将在家庭结构中进行研究。 人口。 将使用各种技术，包括计算机 随机模型模拟和解析分析。 二是 提出了一种研究特定遗传系统进化的方法 这有利于某些社会互动。 第三，由于最 常见的相互作用是大多数物种是交配之间的性别， 性二型性的进化将通过基于以下的技术来研究： 数量遗传学和性选择理论。 四是 提出可以构建一个更统一的社会进化理论 围绕着“行为结构”这个概念。 行为的概念 结构包括亲属结构群体中的相互作用， 个体之间的相互作用，可以通过改变他们的活动， 学习 学习和亲属关系都特别重要， 人与人之间互动的进化。 最后，我建议研究 遗传限制的演变，阻止人口达到 博弈论预测的状态。 博弈论通常用于研究 进化的问题，但很少有分析的敏感性 它对有性生殖引起的并发症的预测。

The general objective of the proposed research is to develop a unified theory of the evolution of intraspecific interactions built upon the axioms of population genetics. Most human diseases, pathogens and parasites are transmitted during social interactions. The theory to be developed studies the effects of these interactions on the biological fitness of the individuals and predicts how these effects have evolved. Five specific projects are proposed all relating to this general theme. First, since many social groups are small and centered around the family or more extended kinship ties (this is most certainly true of the recent evolutionary past of the human species), the effects of finite population size on the evolution of interactions is to be studied in family-structured populations. A variety of techniques will be used including computer simulation and analytic analysis of a stochastic model. Second, a methodology is proposed to study the evolution of specific genetic systems which are conducive to certain social interactions. Third, since the most common interaction is most species is mating between the sexes, the evolution of sexual dimorphism is to be studied by techniques based on quantitative genetics and the theory of sexual selection. Fourth, it is proposed that a more unified theory of social evolution can be constructed around the idea of "behavioral structure". The idea of behavioral structure encorporates both interactions in kin-structured populations and interactions among individuals that can modify their activities through learning. Both learning and kinship are especially relevant to the evolution of interactions between humans. Finally, I propose to study the evolution of genetic constraints which prevent populations from attaining the states predicted by game theory. Game theory is commonly used to study evolutionary problems but there have been few analyses of the sensitivity of its predictions to the complications arising from sexual reproduction.