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The Philosophy of Evolutionary Theory: Concepts, Inferences, and Probabilities

ΣΥΓΓΡΑΦΕΑΣ
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23,20 €
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Natural selection, mutation, and adaptation are well-known and central topics in Darwin's theory of evolution and in the 20th - and 21st -century theories which grew out of it, but many other important topics are used in evolutionary biology that raise interesting philosophical questions. In this book, Elliott Sober  analyses a much larger range of topics, including fitness, altruism, common ancestry, chance, taxonomy, phylogenetic inference, operationalism, reductionism, conventionalism, null hypotheses and default reasoning, instrumentalism versus realism, hypothetico-deductivism, essentialism, falsifiability, the principle of parsimony, the principle of the common cause, causality, determinism versus indeterminism, sensitivity to initial conditions, and the knowability of the past. Sober's clear philosophical analyses of these key concepts, arguments, and methods of inference will be valuable for all readers who want to understand evolutionary biology in both its Darwinian and its contemporary forms.

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  • Introduces advanced undergraduates and graduate students in philosophy and in biology to the philosophy of evolutionary biology
  • Integrates general questions in philosophy of science with more specific questions about philosophy of evolutionary theory
  • Uses probability theory as a tool for addressing philosophical questions
Συγγραφέας: Sober Elliott
Εκδότης: CAMBRIDGE UNIVERSITY PRESS
Σελίδες: 308
ISBN: 9781009376013
Εξώφυλλο: Μαλακό Εξώφυλλο
Αριθμός Έκδοσης: 1
Έτος έκδοσης: 2024

1. A Darwinian introduction
2. Fitness and natural selection
3. Units of selection
4. Common ancestry
5. Drift
6. Mutation
7. Taxa and genealogy
8. Adaptationism
9. Big-picture questions.

Elliott Sober is Hans Reichenbach Professor Emeritus, and William F. Vilas Research Professor Emeritus of Philosophy at the University of Wisconsin-Madison. His previous publications include Ockham's Razors: A User's Manual (Cambridge, 2015) and The Design Argument (Cambridge, 2018).

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