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Case-based knowledge and induction

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.