Scientific Enquiry and Natural Kinds: From Planets to Mallards by P. MagnusScientific Enquiry and Natural Kinds: From Planets to Mallards by P. Magnus

Scientific Enquiry and Natural Kinds: From Planets to Mallards

byP. Magnus

Hardcover | October 15, 2012

Pricing and Purchase Info

$115.44 online 
$130.00 list price save 11%
Earn 577 plum® points

Prices and offers may vary in store


In stock online

Ships free on orders over $25

Not available in stores


There are certainly some scientific categories which are merely conveniences introduced to organize complicated data, but others correspond to genuine features of the world. These are indispensable for successful science in some domain; in short, they are natural kinds. This book gives a general account of what it is to be a natural kind. It untangles philosophical puzzles surrounding natural kinds. Natural kinds can be practical, and we can identify them without pretending to know the fundamental structure of reality. The account is then put to work to illuminate specific examples, such as the category planet and the fate of Pluto, species like the common mallard and the species category itself, cognition and distributed cognition, animal signals and the threats they signify, and even baked goods.
P.D. MAGNUS is Associate Professor and teaches philosophy at the University at Albany, SUNY, USA. He has been a visiting fellow at the Center for Philosophy of Science in Pittsburgh, he is the co-editor (with Jacob Busch) of New Waves in Philosophy of Science, and he is the author or co-author of dozens of published essays.
Title:Scientific Enquiry and Natural Kinds: From Planets to MallardsFormat:HardcoverDimensions:222 pagesPublished:October 15, 2012Publisher:Palgrave Macmillan UKLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0230369170

ISBN - 13:9780230369177


Table of Contents

List of Figures
How to Think About Natural Kinds
A Modest Definition
Natural Kinds Put to Work
Practical and Impractical Ontology
The Menace of Triviality
Causal Processes and Property Clusters