Luque, Víctor (2016) One Equation To Rule Them All: A philosophical analysis of the Price equation. [Preprint]
PDF
ONE_EQUATION_TO_RULE_THEM_ALL.pdf Download (172kB) |
Abstract
This paper provides a philosophical analysis of the Price equation and its role in evolutionary theory. Traditional models in population genetics postulate simplifying assumptions in order to make the models mathematically tractable. On the contrary, the Price equation implies a very specific way of theorizing, starting with assumptions that we think are true and then deriving from them the mathematical rules of the system. I argue that the Price equation is a generalization-sketch, whose main purpose is to provide a unifying framework for researchers, helping them to develop specific models. The Price equation plays this role because, like other scientific principles, shows features as abstractness, unification and invariance. By underwriting this special role for the Price equation some recent disputes about it and other evolutionary equations could be diverted. This move also links Price’s equation with Newton’s second law of motion, and therefore vindicates the Newtonian analogy.
Export/Citation: | EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL |
Social Networking: |
Item Type: | Preprint | ||||||
---|---|---|---|---|---|---|---|
Creators: |
|
||||||
Keywords: | Price equation, generalization-sketch, abstractness, unification, Newtonian analogy | ||||||
Subjects: | Specific Sciences > Biology > Evolutionary Theory General Issues > Philosophers of Science |
||||||
Depositing User: | Mr. Victor Luque | ||||||
Date Deposited: | 19 Mar 2016 01:47 | ||||||
Last Modified: | 19 Mar 2016 01:47 | ||||||
Item ID: | 11977 | ||||||
Subjects: | Specific Sciences > Biology > Evolutionary Theory General Issues > Philosophers of Science |
||||||
Date: | 18 March 2016 | ||||||
URI: | https://philsci-archive.pitt.edu/id/eprint/11977 |
Monthly Views for the past 3 years
Monthly Downloads for the past 3 years
Plum Analytics
Actions (login required)
View Item |