Thinking about Thinking

A Physician’s Guide to Epistemology

Daniel Albert (Autor)

Buch | Hardcover

185 Seiten

2024 | Unabridged edition
Cambridge Scholars Publishing (Verlag)
978-1-0364-1014-8 (ISBN)

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At the root of everything we do is the knowledge we possess. We begin to acquire knowledge in infancy and never stop for the rest of our lives. Without knowledge we would be helpless and vulnerable. But how do we acquire knowledge? Where does it come from, and how do we know if it is true or not? These questions have troubled philosophers since antiquity and gradually over millennia we have discovered the mechanisms necessary to acquire knowledge and to verify it. This book surveys these methods, starting with our most basic functions of common sense and intuition and moving on to more complex cognitive activity such as deductive and inductive inference and causality. Later, the scientific method, statistics, and probability are discussed. The book concludes with newer contributions to the field, including decision analysis, game theory, computers and artificial intelligence. Written for a lay audience, it surveys the field of epistemology in an approachable and engaging way.

Daniel Albert graduated from Columbia University (USA) with a degree in philosophy and completed medical school at New York University (USA). After his residency in internal medicine, he completed the Robert Wood Johnson Clinical Scholar Program at the University of North Carolina at Chapel Hill (USA), studying decision analysis. Along with Professors of Philosophy Michael Resnik and Ronald Munson, he authored Reasoning in Medicine: An Introduction to Clinical Inference (1988). He has also authored over 100 peer reviewed publications and several other texts, including Volunteer: Adventures in Humanism (2019). He is Professor of Medicine and Pediatrics and Vice Chair of Medicine for Faculty Affairs at the Geisel School of Medicine at Dartmouth College (USA).

Erscheint lt. Verlag	1.10.2024
Verlagsort	Newcastle upon Tyne
Sprache	englisch
Maße	148 x 212 mm
Themenwelt	Mathematik / Informatik ► Mathematik
	Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie
	Naturwissenschaften
ISBN-10	1-0364-1014-5 / 1036410145
ISBN-13	978-1-0364-1014-8 / 9781036410148
Zustand	Neuware