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Journal ArticleDOI

Selection and covariance.

George R. Price
- 01 Aug 1970 - 
- Vol. 227, Iss: 5257, pp 520-521
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TLDR
This is a preliminary communication describing applications to genetical selection of a new mathematical treatment of selection in general.
Abstract
THIS is a preliminary communication describing applications to genetical selection of a new mathematical treatment of selection in general.

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Citations
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Fitness Causes Bloat in Variable Size Representations

TL;DR: In this article, it was shown that the tendency for solutions to grow in size is caused by fitness based selection, and that an increase in representation length is inherent in using a fixed evaluation function with a discrete but variable length representation.
Journal ArticleDOI

Ultimate causes and the evolution of altruism

TL;DR: It is argued that analysing the evolution of altruism in terms of its ultimate causes is the logical way to approach the problem and that, despite some of its technical limitations, the Price equation approach is a particularly powerful way of doing so.
Book

Aging is a Group-Selected Adaptation: Theory, Evidence, and Medical Implications

TL;DR: In this article, the Demographic Theory of Senescence was proposed, whereby aging has been affirmatively selected because it levels the death rate over time helping stabilize population dynamics and prevent extinctions.
Book ChapterDOI

Non-genetic inheritance and evolution

TL;DR: This chapter outlines the historical background to the development of the transmission genetics view of heredity and how recent findings in molecular, developmental, and behavioural biology challenge the textbooks and shows how the teaching of fundamental concepts in evolutionary biology can benefit from philosophical analysis informed by contemporary biological research.
Journal ArticleDOI

Individual fitness and phenotypic selection in age-structured populations with constant growth rates.

TL;DR: It is discussed how multiple regressions, applied to individual reproductive value at birth, can be used efficiently to estimate measures of phenotypic selection that are problematic for sensitivity analyses, including nonlinear selection, components of the opportunity for selection, and multilevel selection.