PhilSci Archive

Optimality Models and the Propensity Interpretation of Fitness

Roffé, Ariel Jonathan and Ginnobili, Santiago (2019) Optimality Models and the Propensity Interpretation of Fitness. [Preprint]

[img]
Preview
Text
Optimality and propensity PREPRINT.pdf - Accepted Version

Download (362kB) | Preview

Abstract

The propensity account of fitness intends to solve the classical tautologicity issue by identifying fitness with a disposition, the ability to survive and reproduce. As proponents recognized early on, this account requires operational independence from actual reproductive success to avoid circularity and vacuousness charges. They suggested that operational independence is achieved by measuring fitness values through optimality models. Our goal in this article is to develop this suggestion. We show that one plausible procedure by which these independent operationalizations could be thought to take place, and which is in accordance with what is said in the optimality literature, is unsound. We provide two independent lines of reasoning to show this. We then provide a sketch of a more adequate account of the role of optimality models in evolutionary contexts and draw some consequences.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Preprint
Creators:
CreatorsEmailORCID
Roffé, Ariel Jonathanariroffe@hotmail.com
Ginnobili, Santiagosanti75@gmail.com
Additional Information: Preprint (forthcoming in Acta Biotheoretica)
Keywords: fitness, natural selection, optimality models, propensity interpretation of fitness
Subjects: Specific Sciences > Biology
Specific Sciences > Biology > Evolutionary Theory
Depositing User: Mr. Ariel Jonathan Roffé
Date Deposited: 24 Oct 2019 02:27
Last Modified: 24 Oct 2019 02:27
Item ID: 16568
Subjects: Specific Sciences > Biology
Specific Sciences > Biology > Evolutionary Theory
Date: 2019
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/16568

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item