Wayward Modeling: Population Genetics and Natural Selection.
Since the introduction of mathematical population genetics, its machinery has shaped our fundamental understanding of natural selection. Selection is taken to occur when differential fitnesses produce differential rates of reproductive success, where fitnesses are understood as parameters in a popul...
| Publicado en: | Philosophy of Science Vol. 73; no. 4; pp. 369 - 390 |
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| Formato: | Artículo |
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Cambridge University Press
Oct2006
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=25472728&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 25472728 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Oct2006 vid: 73 iid: 4 pid: 15979 pub: Cambridge University Press artinfo: ui: 25472728 10.1086/516805 ppf: 369 ppct: 21 formats: fmt: @attributes: type: P size: 238KB tig: atl: Wayward Modeling: Population Genetics and Natural Selection. aug: au: Glymour, Bruce affil: Department of Philosophy, Kansas State University, 201 Dickens Hall, Manhattan, KS 66506 su: Natural selection Population genetics -- Mathematical models Causal models Biological evolution Markov processes Biomathematics sug: subj: Natural selection Population genetics -- Mathematical models Causal models Biological evolution Markov processes Biomathematics ab: Since the introduction of mathematical population genetics, its machinery has shaped our fundamental understanding of natural selection. Selection is taken to occur when differential fitnesses produce differential rates of reproductive success, where fitnesses are understood as parameters in a population genetics model. To understand selection is to understand what these parameter values measure and how differences in them lead to frequency changes. I argue that this traditional view is mistaken. The descriptions of natural selection rendered by population genetics models are in general neither predictive nor explanatory and introduce avoidable conceptual confusions. I conclude that a correct understanding of natural selection requires explicitly causal models of reproductive success. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Philosophy of Science is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Philosophy of Science holder: Cambridge University Press dt: @attributes: year: 2006 holdings: @attributes: islocal: N |
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