An Introduction to Decision Theory (Cambridge Introductions to Philosophy) - Tapa blanda

Libro 21 de 30: Cambridge Introductions to Philosophy

Peterson, Martin

 
9781316606209: An Introduction to Decision Theory (Cambridge Introductions to Philosophy)
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ISBN 10: 1316606201 ISBN 13: 9781316606209
Editorial: Cambridge University Press, 2017

Sinopsis

Now revised and updated, this introduction to decision theory is both accessible and comprehensive, covering topics including decision making under ignorance and risk, the foundations of utility theory, the debate over subjective and objective probability, Bayesianism, causal decision theory, game theory, and social choice theory. No mathematical skills are assumed, with all concepts and results explained in non-technical and intuitive as well as more formal ways. There are now over 140 exercises with solutions, along with a glossary of key terms and concepts. This second edition includes a new chapter on risk aversion as well as updated discussions of numerous central ideas, including Newcomb's problem, prisoner's dilemmas, and Arrow's impossibility theorem. The book will appeal particularly to philosophy students but also to readers in a range of disciplines, from computer science and psychology to economics and political science.

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Acerca del autor

Martin Peterson holds the Sue and Harry Bovay Chair in the Department of Philosophy, Texas A&M University. He is the author of several books on decision theory, ethics, and risk, including Non-Bayesian Decision Theory (2008), The Dimensions of Consequentialism (Cambridge, 2013), and The Ethics of Technology (forthcoming).

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Editorial
Cambridge University Press
Año de publicación
2017
Idioma
Inglés
ISBN 10 
1316606201
ISBN 13 
9781316606209
Encuadernación
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Número de edición
2
Número de páginas
350
Contacto del fabricante
Cambridge University Press
https://www.cambridge.org/

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Pomezia
Italia
71
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Otras ediciones populares con el mismo título

9781107151598: An Introduction to Decision Theory (Cambridge Introductions to Philosophy)

Edición Destacada

ISBN 10:  1107151597 ISBN 13:  9781107151598
Editorial: Cambridge University Press, 2017
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