Article ID: CBB384666113

Searching for Darwinism in Generalized Darwinism (2015)

unapi

While evolutionary thinking is increasingly becoming popular in fields of investigation outside the biological sciences, it remains unclear how helpful it is there and whether it actually yields good explanations of the phenomena under study. Here we examine the ontology of a recent approach to applying evolutionary thinking outside biology, the generalized Darwinism (GD) approach proposed by Geoffrey Hodgson and Thorbjørn Knudsen. We examine the ontology of populations in biology and in GD, and argue that biological evolutionary theory sets ontological criteria that GD fails to meet. We suggest two options to revise the population concept in GD: reformulating the concept in terms of inheritance and reproduction such that it comes to pick out individuals similar to evolving populations, or trying to build an adequate population concept on a principle of differential retention instead of differential reproduction. 1 Introduction 2 Generalized Darwinism 2.1 What is generalized Darwinism? 2.2 Darwinian principles 3 The Ontology of Generalized Darwinism: What Are Populations? 3.1 The population concept of generalized Darwinism 3.2 The population concept in evolutionary theory 4 Locating Evolving Systems in Generalized Darwinism 5 Conclusion

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Authors & Contributors
Jablonka, Eva
Woodford, Peter
Bernardi, Massimo
Menegon, Michele
Winslow, Russell
Bellati, Adriana
Journals
Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences
Studies in History and Philosophy of Science
Perspectives on Science
Kansas History: A Journal of the Central Plains
Journal of the History of Biology
History of the Human Sciences
Publishers
Armando
University of Minnesota Press
Routledge
Lexington Books
Hermann
Acumen Publishers
Concepts
Evolution
Biology
Darwinism
Inheritance
Genetics
Science and religion
People
Gould, Stephen Jay
VanderMeer, Jeff
Bear, Gregory Dale
Lamarck, Jean Baptiste Antoine Pierre de Monet de
Szathmáry, Eörs
Smith, John Maynard
Time Periods
21st century
20th century, late
20th century, early
20th century
19th century
Places
United States
Kansas (U.S.)
France
Institutions
Human Genome Project
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