TY - JOUR
T1 - Case-based knowledge and induction
AU - Gilboa, Itzhak
AU - Schmeidler, David
PY - 2000
Y1 - 2000
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0033898963&partnerID=8YFLogxK
U2 - 10.1109/3468.833090
DO - 10.1109/3468.833090
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AN - SCOPUS:0033898963
SN - 1083-4427
VL - 30
SP - 85
EP - 95
JO - IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
JF - IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
IS - 2
ER -