Theory of Decision under Uncertainty

Explore the fascinating world of decision-making with "Theory of Decision under Uncertainty" by Itzhak Gilboa, published by Cambridge University Press in 2009. This insightful hardback spans 230 pages and delves deeply into the classical axiomatic theories that govern how we make choices in uncertain conditions. It offers a critical examination of these theories alongside alternative perspectives, enriching your understanding of probability and its implications.

Gilboa emphasizes the behavioral definition of subjective probability, particularly through Savage's theorem, while also introducing groundbreaking concepts such as non-additive and multiple prior theories. Furthermore, this book presents a case-based approach to belief formation, connecting theoretical insights to practical decision-making scenarios. Perfect for students, academics, and professionals alike, this book is an essential resource for anyone looking to enhance their understanding of decision theory in the face of uncertainty.