Servedio Maria R, Brandvain Yaniv, Dhole Sumit, Fitzpatrick Courtney L, Goldberg Emma E, Stern Caitlin A, Van Cleve Jeremy, Yeh D Justin
Department of Biology, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Department of Plant Biology, University of Minnesota, Twin Cities, St. Paul, Minnesota, United States of America.
PLoS Biol. 2014 Dec 9;12(12):e1002017. doi: 10.1371/journal.pbio.1002017. eCollection 2014 Dec.
Progress in science often begins with verbal hypotheses meant to explain why certain biological phenomena exist. An important purpose of mathematical models in evolutionary research, as in many other fields, is to act as “proof-of-concept” tests of the logic in verbal explanations, paralleling the way in which empirical data are used to test hypotheses. Because not all subfields of biology use mathematics for this purpose, misunderstandings of the function of proof-of-concept modeling are common. In the hope of facilitating communication, we discuss the role of proof-of-concept modeling in evolutionary biology.
科学的进步往往始于旨在解释某些生物现象为何存在的文字假设。与许多其他领域一样,进化研究中数学模型的一个重要目的是作为文字解释中逻辑的“概念验证”测试,这与使用实证数据来检验假设的方式类似。由于并非生物学的所有子领域都为此目的使用数学,对概念验证建模功能的误解很常见。为了促进交流,我们讨论概念验证建模在进化生物学中的作用。