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Decision Space: Multidimensional Utility Analysis: Cambridge Studies in Probability, Induction and Decision Theory

Autor Paul Weirich
en Limba Engleză Paperback – 18 iul 2007
In Decision Space: Multidimensional Utility Analysis, first published in 2001, Paul Weirich increases the power and versatility of utility analysis and in the process advances decision theory. Combining traditional and novel methods of option evaluation into one systematic method of analysis, multidimensional utility analysis is a valuable tool. It provides formulations of important decision principles, such as the principle to maximize expected utility; enriches decision theory in solving recalcitrant decision problems; and provides in particular for the cases in which an expert must make a decision for a group of people. The multiple dimensions of this analysis create a decision space broad enough to accommodate all factors affecting an option's utility. The book will be of interest to advanced students and professionals working in the subject of decision theory, as well as to economists and other social scientists.
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Specificații

ISBN-13: 9780521038034
ISBN-10: 0521038030
Pagini: 288
Ilustrații: 34 b/w illus.
Dimensiuni: 152 x 228 x 16 mm
Greutate: 0.43 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Seria Cambridge Studies in Probability, Induction and Decision Theory

Locul publicării:New York, United States

Cuprins

List of figures; Preface; 1. Objectives and methods; 2. Intrinsic utility analysis; 3. Expected utility analysis; 4. Expected utility's promotion; 5. Two-dimensional utility analysis; 6. Group utility analysis; 7. Application to trustee decisions; 8. Power and versatility; Appendix: consistency of calculations of utilities; References; Index.

Recenzii

"Paul Weirich has written an ambitious book that deserves the serious attention of anyone interested in rational choice theory... an important and welcome contribution to the literature..." Ethics

Descriere

This book, first published in 2001, combines traditional and novel methods of option evaluation into one systematic and versatile method.