Case-Based Knowledge and Induction

Itzhak Gilboa (1) , David Schmeidler (1)

1 TAU - Tel Aviv University

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

Domains: Humanities and Social Sciences; Economics and Finance; Economy and decision science

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⟩