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A Theory of Case-Based Decisions.

Gilboa, Itzhak.

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A Theory of Case-Based Decisions.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A Theory of Case-Based Decisions./
作者:	Gilboa, Itzhak.
其他作者:	Schmeidler, David.
出版者:	Cambridge :Cambridge University Press, : 2001.,
面頁冊數:	211 p.
內容註:	Cover; Half-title; Title; Copyright; Dedication; CONTENTS; ACKNOWLEDGMENTS; CHAPTER 1 PROLOGUE; CHAPTER 2 DECISION RULES; CHAPTER 3 AXIOMATIC DERIVATION; CHAPTER 4 CONCEPTUAL FOUNDATIONS; CHAPTER 5 PLANNING; CHAPTE 6 REPEATED CHOICE; CHAPTER 7 LEARNING AND INDUCTION; BIBLIOGRAPHY; INDEX
標題:	Decision making - Mathematical models. -
電子資源:	http://dx.doi.org/10.1017/CBO9780511493539Click here to view book
ISBN:	9780511493539 (electronic bk.)

A Theory of Case-Based Decisions.
Gilboa, Itzhak.

A Theory of Case-Based Decisions.[electronic resource]. - Cambridge :Cambridge University Press,2001. - 211 p.

Cover; Half-title; Title; Copyright; Dedication; CONTENTS; ACKNOWLEDGMENTS; CHAPTER 1 PROLOGUE; CHAPTER 2 DECISION RULES; CHAPTER 3 AXIOMATIC DERIVATION; CHAPTER 4 CONCEPTUAL FOUNDATIONS; CHAPTER 5 PLANNING; CHAPTE 6 REPEATED CHOICE; CHAPTER 7 LEARNING AND INDUCTION; BIBLIOGRAPHY; INDEX

Gilboa and Schmeidler provide a new paradigm for modelling decision making under uncertainty, one which suggests that people make decisions by analogies to past cases. The authors describe the general theory and its relationship to planning, repeated choice problems, inductive inference, and learning.

Electronic reproduction.

Available via World Wide Web.

Mode of access: World Wide Web.

ISBN: 9780511493539 (electronic bk.)Subjects--Topical Terms:

1898062
Decision making - Mathematical models.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: HD30.23 .G53 2001eb

Dewey Class. No.: 330.1

A Theory of Case-Based Decisions.
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520 $a Gilboa and Schmeidler provide a new paradigm for modelling decision making under uncertainty, one which suggests that people make decisions by analogies to past cases. The authors describe the general theory and its relationship to planning, repeated choice problems, inductive inference, and learning.
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