A semantic approach to the structure of population genetics
Philosophy of Science 51 (2):242-264 (1984)
| Abstract | A precise formulation of the structure of modern evolutionary theory has proved elusive. In this paper, I introduce and develop a formal approach to the structure of population genetics, evolutionary theory's most developed sub-theory. Under the semantic approach, used as a framework in this paper, presenting a theory consists in presenting a related family of models. I offer general guidelines and examples for the classification of population genetics models; the defining features of the models are taken to be their state spaces, parameters, and laws. The suggestions regarding the various aspects of the characterization of population genetics models provide an outline for further detailed research | |||||||||
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Anya Plutynski (2006). Strategies of Model Building in Population Genetics. Philosophy of Science 73 (5):755-764.
Peter Gildenhuys (2009). An Explication of the Causal Dimension of Drift. British Journal for the Philosophy of Science 60 (3):521-555.
Peter Gildenhuys (2009). An Explication of the Causal Dimension of Drift. British Journal for the Philosophy of Science 60 (3):521-555.
Sahotra Sarkar (2004). Evolutionary Theory in the 1920s: The Nature of the “Synthesis”. Philosophy of Science 71 (5):1215-1226.
Anya Plutynski (2004). Explanation in Classical Population Genetics. Philosophy of Science 71 (5):1201-1214.
Massimo Pigliucci (2008). The Proper Role of Population Genetics in Modern Evolutionary Theory. Biological Theory 3 (4):316-324.
Peter Gildenhuys (2011). Righteous Modeling: The Competence of Classical Population Genetics. Biology and Philosophy 26 (6):813-835.
Roberta L. Millstein & Robert A. Skipper (2007). Population Genetics. In David L. Hull & Michael Ruse (eds.), The Cambridge Companion to the Philosophy of Biology. Cambridge University Press.
Bruce Glymour (2006). Wayward Modeling: Population Genetics and Natural Selection. Philosophy of Science 73 (4):369-389.
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