Fr. 156.00

Kuhn''s Evolutionary Social Epistemology

English · Hardback

Shipping usually within 3 to 5 weeks

Description

Read more

Informationen zum Autor K. Brad Wray is an Associate Professor of Philosophy at the State University of New York, Oswego. He has published extensively on the epistemology of science, Kuhn's philosophy of science and the anti-realism/realism debate. He was the guest editor of a special issue of the journal Episteme, on the theme of collective knowledge and science, and he is also the editor of an epistemology textbook, Knowledge and Inquiry (2002). Zusammenfassung Provides a defence of Kuhn's theory of scientific knowledge! arguing that it is an evolutionary social epistemology; revisits concepts from The Structure of Scientific Revolutions and examines new directions in Kuhn's view! including his emphasis on specialization. Wray also examines Kuhn's view of social constructionism and the sociology of science. Inhaltsverzeichnis List of figures and table; Acknowledgements; Introduction: Kuhn's insight; Part I. Revolutions, Paradigms, and Incommensurability: 1. Scientific revolutions as lexical changes; 2. The Copernican revolution revisited; 3. Kuhn and the discovery of paradigms; 4. The epistemic significance of incommensurability; Part II. Kuhn's Evolutionary Epistemology: 5. Kuhn's historical perspective; 6. Truth and the end of scientific inquiry; 7. Scientific specialization; 8. Taking stock of the evolutionary dimensions of Kuhn's epistemology; Part III. Kuhn's Social Epistemology: 9. Kuhn's constructionism; 10. What makes Kuhn's epistemology a social epistemology?; 11. How does a new theory come to be accepted?; 12. Where the road has taken us: a synthesis; Bibliography; Index.

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.