Gilboa and Schmeidler's book provides a tremendously enjoyable, clear, and user friendly introduction to a new paradigm for analysing decision making under uncertainty. Case Based Decision Theory (henceforth CBDT) suggests that people make decisions by analogies to past cases, choosing acts that performed well in the past in similar situations, and avoiding acts that performed poorly. The book is spiced with light hearted examples that pave the road for the casual reader to understand the conceptual point of each section without going carefully into the mathematical constructions. Nonetheless, the book contains enough formal content to serve as a complementary textbook in an advanced graduate theory class, and is sprinkled with hints for open questions and directions for future research. Going beyond impressionistic commentary, the book is comprised of three parts: 1. a description of the general (static) model with its axiomatic foundations; 2. a discussion of the conceptual foundations for considering CBDT; and 3. an analysis of CBDT in a dynamic setting that concerns issues of planning, repeated choice, and learning.
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