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.
Type de document :
Article dans une revue
IEEE Transactions on Systems, Man, and Cybernetics, 2000, Vol.30, Issue 2, pp. 85-95. 〈10.1109/3468.833090〉
Liste complète des métadonnées

https://hal-hec.archives-ouvertes.fr/hal-00752300
Contributeur : Amaury Bouvet <>
Soumis le : jeudi 15 novembre 2012 - 13:33:37
Dernière modification le : jeudi 15 novembre 2012 - 13:33:59

Lien texte intégral

Identifiants

Collections

Citation

Itzhak Gilboa, David Schmeidler. Case-Based Knowledge and Induction. IEEE Transactions on Systems, Man, and Cybernetics, 2000, Vol.30, Issue 2, pp. 85-95. 〈10.1109/3468.833090〉. 〈hal-00752300〉

Partager

Métriques

Consultations de la notice

220