Case-Based Knowledge and Induction

Itzhak Gilboa and David Schmeidler

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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.

Keywords: Analogical reasoning; case-based decision theory (search for similar items in EconPapers)
Date: 2000-03
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Citations: View citations in EconPapers (7)

Published in IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 2000, Vol.30, Issue 2, pp. 85-95. ⟨10.1109/3468.833090⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00752300

DOI: 10.1109/3468.833090

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