This book describes the classical axiomatic theories of decision under uncertainty, as well as critiques thereof and alternative theories. It focuses on the meaning of probability, discussing some definitions and surveying t...

Buy Now From Amazon

Product Review

This book describes the classical axiomatic theories of decision under uncertainty, as well as critiques thereof and alternative theories. It focuses on the meaning of probability, discussing some definitions and surveying their scope of applicability. The behavioral definition of subjective probability serves as a way to present the classical theories, culminating in Savage's theorem. The limitations of this result as a definition of probability lead to two directions - first, similar behavioral definitions of more general theories, such as non-additive probabilities and multiple priors, and second, cognitive derivations based on case-based techniques.

Similar Products

Notes On The Theory Of Choice (Underground Classics in Economics)Rational Choice (The MIT Press)The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)Chicago Price TheoryMicroeconomic Foundations I: Choice and Competitive MarketsMaking Better Decisions: Decision Theory in PracticeThe Foundations of StatisticsInfinite Dimensional Analysis: A Hitchhiker's GuideDecision Making Under Uncertainty: Theory and Application (MIT Lincoln Laboratory Series)