DocumentCode
1320449
Title
Case-based knowledge and induction
Author
Gilboa, Itzhak ; Schmeidler, David
Author_Institution
Tel Aviv Univ., Israel
Volume
30
Issue
2
fYear
2000
fDate
3/1/2000 12:00:00 AM
Firstpage
85
Lastpage
95
Abstract
Case-based decision theory (CBDT) is a theory of decision-making under uncertainty, suggesting that people tend to choose acts that performed well in similar cases they recall. The theory has been developed from a decision-/game-/economic-theoretical point of view as a potential alternative to expected utility theory (EUT). In this paper, we attempt to reconsider CBDT as a theory of knowledge representation, to contrast it with the rule-based approach, and to study its implications regarding the process of induction
Keywords
case-based reasoning; decision theory; knowledge representation; CBDT; case-based decision theory; case-based induction; case-based knowledge; economic theory; game theory; knowledge representation; rule-based approach; uncertainty; Decision making; Decision theory; Game theory; Humans; Knowledge representation; Uncertainty; Utility theory;
fLanguage
English
Journal_Title
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Publisher
ieee
ISSN
1083-4427
Type
jour
DOI
10.1109/3468.833090
Filename
833090
Link To Document