A Theory of Case-Based Decisions

by Itzhak Gilboa, David Schmeidler

Overview

Gilboa and Schmeidler provide a new paradigm for modeling decision making under uncertainty. Case-based decision theory suggests that people make decisions by analogies to past cases: they tend to choose acts that performed well in the past in similar situations, and to avoid acts that performed poorly. The authors describe the general theory and its relationship to planning, repeated choice problems, inductive inference, and learning. They highlight its mathematical and philosophical foundations and compare it to expected utility theory as well as to rule-based systems.

Product Details

ISBN-13:	9780521802345
Publisher:	Cambridge University Press
Publication date:	07/26/2001
Pages:	212
Product dimensions:	7.32(w) x 8.82(h) x 0.75(d)

About the Author

ITZHAK GILBOA

Table of Contents

1. Prologue; 2. Decision rules; 3. Axiomatic derivation; 4. Conceptual foundations; 5. Planning; 6. Repeated choice; 7. Learning and induction; Bibliography.

Editorial Reviews

"This text is an excellent introduction to optimization theory." Richard A. Chechile, Journal of Mathematical Psychology

From the Publisher