Mathematical models of social evolution
Mathematical models of social evolution
复制标题
社会进化的数学模型
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
R. Boyd
中科院分区：
文献类型：
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作者：
R. Mcelreath;R. Boyd
在过去的几十年里，数学模型已经成为生物学和社会科学中研究社会进化的核心。但这些学科的学生往往严重缺乏理解它们的工具。行为建模，包括数学和进化理论的初级读本，社会进化的数学模型旨在使生物学和社会科学的学生和专业研究人员完全熟悉该领域的语言。理查德·麦克尔里斯（Richard McElreath）和罗伯特·博伊德（Robert Boyd）教授可以开发模型的生物学概念，向读者介绍了许多用于分析进化模型的典型数学工具，并以一组利用这些技术的问题结束每一章。《社会进化的数学模型》为行为学家和进化生物学家提供了数学知识，以真正理解他们的研究所依赖的模型。最终，McElreath和Boyd的目标是传授现代生物学对行为进化理解的基本概念，以便读者能够更充分地欣赏期刊文章和科学文献，并开始构建自己的模型。
Over the last several decades, mathematical models have become central to the study of social evolution, both in biology and the social sciences. But students in these disciplines often seriously lack the tools to understand them. A primer on behavioral modeling that includes both mathematics and evolutionary theory, Mathematical Models of Social Evolution aims to make the student and professional researcher in biology and the social sciences fully conversant in the language of the field. Teaching biological concepts from which models can be developed, Richard McElreath and Robert Boyd introduce readers to many of the typical mathematical tools that are used to analyze evolutionary models and end each chapter with a set of problems that draw upon these techniques. Mathematical Models of Social Evolution equips behaviorists and evolutionary biologists with the mathematical knowledge to truly understand the models on which their research depends. Ultimately, McElreath and Boyd’s goal is to impart the fundamental concepts that underlie modern biological understandings of the evolution of behavior so that readers will be able to more fully appreciate journal articles and scientific literature, and start building models of their own.