Game Theory in Biology: Moving beyond Functional Accounts.

The American Naturalist Pub Date : 2022-02-01 Epub Date: 2021-12-06 DOI:10.1086/717429
John M McNamara
{"title":"Game Theory in Biology: Moving beyond Functional Accounts.","authors":"John M McNamara","doi":"10.1086/717429","DOIUrl":null,"url":null,"abstract":"<p><p>AbstractThe idea of applying game theory to problems in biology was given a formal basis nearly 50 years ago. Since then, the theory has advanced, and there have been numerous applications of it to a diversity of empirical systems. Most of this work takes a straightforward functional approach, finding a behavioral strategy that is evolutionarily stable in a well-specified specific situation. Relatively little attention has been devoted to the role of phylogeny, the role of learning during development, and the limitations imposed by the psychological and physiological mechanisms that bring about behavior in a complex world. Here I argue that a focus on these elements can improve the link between the theory and empirical systems and hence help us to understand how natural selection has shaped observed behavior.</p>","PeriodicalId":501264,"journal":{"name":"The American Naturalist","volume":" ","pages":"179-193"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The American Naturalist","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1086/717429","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/12/6 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

AbstractThe idea of applying game theory to problems in biology was given a formal basis nearly 50 years ago. Since then, the theory has advanced, and there have been numerous applications of it to a diversity of empirical systems. Most of this work takes a straightforward functional approach, finding a behavioral strategy that is evolutionarily stable in a well-specified specific situation. Relatively little attention has been devoted to the role of phylogeny, the role of learning during development, and the limitations imposed by the psychological and physiological mechanisms that bring about behavior in a complex world. Here I argue that a focus on these elements can improve the link between the theory and empirical systems and hence help us to understand how natural selection has shaped observed behavior.

生物学中的博弈论:超越功能性账户。
摘要将博弈论应用于生物学问题的思想在近50年前就有了正式的基础。从那时起,该理论得到了发展,并在各种经验系统中得到了大量应用。大部分的工作都采用直接的功能方法,寻找在特定情况下进化稳定的行为策略。相对而言,很少有人关注系统发育的作用,学习在发展中的作用,以及在复杂世界中导致行为的心理和生理机制所施加的限制。在这里,我认为对这些要素的关注可以改善理论和经验系统之间的联系,从而帮助我们理解自然选择是如何塑造观察到的行为的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信