A generalized Price equation for fuzzy set-mappings

The Price equation provides a formal account of selection building on a right-total mapping between two classes of individuals, which is usually interpreted as a parent-offspring relation. This paper presents a new formulation of the Price equation in terms of fuzzy set-mappings to account for structures where the targets of selection may vary in the degree to which they belong to the classes of "parents" and "offspring," and in the degree to which these two classes of individuals are related. The fuzzy set formulation widens the scope of the Price equation such that it equally applies to natural selection, cultural selection, operant selection, and selection in physical systems.

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Publication Details

Journal
Theory in Biosciences
Published
2025-05-30
DOI
https://doi.org/10.1007/s12064-025-00438-7
Citations
1
Primary Topic
Evolutionary Game Theory and Cooperation
Type
article
Field-Weighted Citation Impact
4.20
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article

A generalized Price equation for fuzzy set-mappings

Matthias Borgstede
1 citations
Theory in Biosciences
Evolutionary Game Theory and Cooperation
4.20
article

A generalized Price equation for fuzzy set-mappings

Matthias Borgstede
article en
1 citations

Abstract

The Price equation provides a formal account of selection building on a right-total mapping between two classes of individuals, which is usually interpreted as a parent-offspring relation. This paper presents a new formulation of the Price equation in terms of fuzzy set-mappings to account for structures where the targets of selection may vary in the degree to which they belong to the classes of "parents" and "offspring," and in the degree to which these two classes of individuals are related. The fuzzy set formulation widens the scope of the Price equation such that it equally applies to natural selection, cultural selection, operant selection, and selection in physical systems.

Theory in BiosciencesVol. 144(2)
University of Bamberg (DE)
Reduced inequalities
Openalex Percentile: Top 8%
Evolutionary Game Theory and Cooperation
4.20
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