David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Philosophy & Theory in Biology 1 (20130604):e002 (2009)
Recently, a number of philosophers of biology have endorsed views about random drift that, we will argue, rest on an implicit assumption that the meaning of concepts such as drift can be understood through an examination of the mathematical models in which drift appears. They also seem to implicitly assume that ontological questions about the causality of terms appearing in the models can be gleaned from the models alone. We will question these general assumptions by showing how the same equation — the simple 2 = p2 + 2pq + q2 — can be given radically different interpretations, one of which is a physical, causal process and one of which is not. This shows that mathematical models on their own yield neither interpretations nor ontological conclusions. Instead, we argue that these issues can only be resolved by considering the phenomena that the models were originally designed to represent and the phenomena to which the models are currently applied. When one does take those factors into account, starting with the motivation for Sewall Wright’s and R.A. Fisher’s early drift models and ending with contemporary applications, a very different picture of the concept of drift emerges. On this view, drift is a term for a set of physical processes, namely, indiscriminate sampling processes
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Philippe Huneman (2015). Inscrutability and the Opacity of Natural Selection and Random Genetic Drift: Distinguishing the Epistemic and Metaphysical Aspects. Erkenntnis 80 (3):491-518.
Philippe Huneman (2012). Natural Selection: A Case for the Counterfactual Approach. [REVIEW] Erkenntnis 76 (2):171-194.
Frédéric Bouchard (2014). Ecosystem Evolution is About Variation and Persistence, Not Populations and Reproduction. Biological Theory 9 (4):382-391.
Roberta L. Millstein (2013). Exploring the Status of Population Genetics: The Role of Ecology. Biological Theory 7 (4):346-357.
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