An Introduction to Decision Theory - Cambridge Introductions to Philosophy (Paperback)
  • An Introduction to Decision Theory - Cambridge Introductions to Philosophy (Paperback)
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An Introduction to Decision Theory - Cambridge Introductions to Philosophy (Paperback)

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£22.99
Paperback 325 Pages / Published: 14/05/2009
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This introduction to decision theory offers comprehensive and accessible discussions of 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, and all concepts and results are explained in non-technical and intuitive as well as more formal ways. There are over 100 exercises with solutions, and a glossary of key terms and concepts. An emphasis on foundational aspects of normative decision theory (rather than descriptive decision theory) makes the book particularly useful for philosophy students, but it will appeal to readers in a range of disciplines including economics, psychology, political science and computer science.

Publisher: Cambridge University Press
ISBN: 9780521716543
Number of pages: 325
Weight: 650 g
Dimensions: 247 x 174 x 16 mm


MEDIA REVIEWS
"This up-to-date introduction to decision theory offers comprehensive and accessible discussions of 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.... all concepts and results are explained in non-technical and intuitive as well as more formal ways. There are over 100 exercises with solutions, and a glossary of key terms and concepts. An emphasis on foundational aspects of normative decision theory (rather than descriptive decision theory) makes the book particularly useful for philosophy students, but it will appeal to readers in a range of disciplines including economics, psychology, political science and computer science." -- Mathematical Reviews

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