An Introduction to the Philosophy of Science

An Introduction to the Philosophy of Science

by Kent W. Staley

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This book guides readers by gradual steps through the central concepts and debates in the philosophy of science. Using concrete examples from the history of science, Kent W. Staley shows how seemingly abstract philosophical issues are relevant to important aspects of scientific practice. Structured in two parts, the book first tackles the central concepts of the philosophy of science, such as the problem of induction, falsificationism, and underdetermination, and important figures and movements, such as the logical empiricists, Thomas Kuhn, and Paul Feyerabend. The second part turns to contemporary debates in the philosophy of science, such as scientific realism, explanation, the role of values in science, the different views of scientific inference, and probability. This broad yet detailed overview will give readers a strong grounding whilst also providing opportunities for further exploration. It will be of particular interest to students of philosophy, the philosophy of science, and science.

Product Details

ISBN-13: 9781316093795
Publisher: Cambridge University Press
Publication date: 11/06/2014
Series: Cambridge Introductions to Philosophy
Sold by: Barnes & Noble
Format: NOOK Book
File size: 1 MB

About the Author

Kent W. Staley is Associate Professor of Philosophy at Saint Louis University, Missouri. His publications include The Evidence for the Top Quark: Objectivity and Bias in Collaborative Experimentation (Cambridge, 2004).

Table of Contents

Preface: philosophy of science for philosophers, scientists, and everyone else; Part I. Background and Basic Concepts: 1. Some problems of induction; 2. Falsificationism: science without induction?; 3. Underdetermination; 4. Logical empiricism and scientific theories; 5. Kuhn: scientific revolutions as paradigm changes; 6. Lakatos: scientific research programmes; 7. Feyerabend: epistemological anarchism; Part II. Ongoing Investigations: 8. Reasoning with probability: Bayesianism; 9. Reasoning with probability: frequentism; 10. Realism and anti-realism; 11. Explanation; 12. Values in science; References; Index.

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