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Case-Based Knowledge and Induction

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 rulebased approach, and to study its implications regarding the process of induction.
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Contributor : Antoine Haldemann Connect in order to contact the contributor
Submitted on : Thursday, November 15, 2012 - 1:33:37 PM
Last modification on : Saturday, June 25, 2022 - 10:53:59 AM





Itzhak Gilboa, David Schmeidler. Case-Based Knowledge and Induction. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 2000, Vol.30, Issue 2, pp. 85-95. ⟨10.1109/3468.833090⟩. ⟨hal-00752300⟩



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