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| 008 | 011030s2001 enk b 001 0 eng d | |
| 010 | ▼a 01275966 | |
| 015 | ▼a GBA1-Y1044 | |
| 020 | ▼a 0521802342 | |
| 020 | ▼a 0521003113 (PBK.) | |
| 040 | ▼a UKM ▼c DLC ▼d UKM ▼d 211009 | |
| 042 | ▼a lccopycat | |
| 049 | 1 | ▼l 121062679 ▼f 과학 |
| 050 | 0 0 | ▼a HD30.23 ▼b .G53 2001 |
| 082 | 0 0 | ▼a 658.4/033 ▼2 21 |
| 090 | ▼a 658.4033 ▼b G466t | |
| 100 | 1 | ▼a Gilboa, Itzhak. |
| 245 | 1 2 | ▼a A theory of case-based decisions / ▼c Itzhak Gilboa and David Schmeidler. |
| 260 | ▼a Cambridge : ▼b Cambridge University Press, ▼c 2001. | |
| 300 | ▼a x, 199 p. ; ▼c 23 cm. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Decision making ▼x Mathematical models. |
| 700 | 1 | ▼a Schmeidler, David , ▼d 1939- |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 658.4033 G466t | 등록번호 121062679 (2회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Gilboa and Schmeidler provide a paradigm for modelling decision making under uncertainty. Unlike the classical theory of expected utility maximization, case-based decision theory does not assume that decision makers know the possible 'states of the world' or the outcomes, let alone the decision matrix attaching outcomes to act-state pairs. 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. It is an alternative to expected utility theory when both states of the world and probabilities are neither given in the problem nor can be easily constructed. 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 with expected utility theory as well as with rule-based systems.
Gilboa and Schmeidler provide paradigm for modelling decision making under uncertainty.
정보제공 :
목차
1. Prologue; 2. Decision rules; 3. Axiomatic derivation; 4. Conceptual foundations; 5. Planning; 6. Repeated choice; 7. Learning and induction; Bibliography.
정보제공 :