Theory of Decision under Uncertainty

Itzhak Gilboa*

*Corresponding author for this work

Research output: Book/ReportBookpeer-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.

Original languageEnglish
PublisherCambridge University Press
Number of pages215
ISBN (Electronic)9780511840203
ISBN (Print)9780521517324
StatePublished - 1 Jan 2009


Dive into the research topics of 'Theory of Decision under Uncertainty'. Together they form a unique fingerprint.

Cite this