Case-based knowledge and induction

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

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 rule-based approach, and to study its implications regarding the process of induction.

Original languageEnglish
Pages (from-to)85-95
Number of pages11
JournalIEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
Volume30
Issue number2
DOIs
StatePublished - 2000

Fingerprint

Dive into the research topics of 'Case-based knowledge and induction'. Together they form a unique fingerprint.

Cite this