An Introduction to Decision Theory (Cambridge Introductions to Philosophy)

Martin Peterson

ISBN 10: 0521716543 / ISBN 13: 9780521716543

Verlag: Cambridge, Cambridge, 2009

Beschreibung

Larger 8vo pp. 317, "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? Bestandsnummer des Verkäufers 315913

Bibliografische Details

Titel: An Introduction to Decision Theory (...

Verlag: Cambridge, Cambridge

Erscheinungsdatum: 2009

Einband: Softcover

Zustand: Very Good

Zustand des Schutzumschlags: No duswtjacket

Art des Buches: book

Über diesen Titel

Inhaltsangabe:

This clearly written introduction covers all the main aspects of decision theory including utility theory, subjective and objective probability, Bayesianism, causal decision theory, game theory, and social choice theory. No mathematical background is assumed and a full glossary and over 100 exercises help the reader to fully understand the area.

Críticas:

"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