Evidence and Belief

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We discuss the representation of knowledge and of belief from the viewpoint of decision theory. While the Bayesian approach enjoys general-purpose applicability and axiomatic foundations, it suffers from several drawbacks. In particular, it does not model the belief formation process, and does not relate beliefs to evidence. We survey alternative approaches, and focus on formal model of case-based prediction and case-based decisions.

Original languageEnglish
Title of host publicationPrinciples of Knowledge Representation and Reasoning
Subtitle of host publicationProceedings of the 9th International Conference, KR 2004
PublisherAAAI press
Pages733-734
Number of pages2
ISBN (Electronic)1577351991, 9781577351993
StatePublished - 2004
Event9th International Conference on Principles of Knowledge Representation and Reasoning, KR 2004 - Whistler, Canada
Duration: 2 Jun 20045 Jun 2004

Publication series

NamePrinciples of Knowledge Representation and Reasoning: Proceedings of the 9th International Conference, KR 2004

Conference

Conference9th International Conference on Principles of Knowledge Representation and Reasoning, KR 2004
Country/TerritoryCanada
CityWhistler
Period2/06/045/06/04

Fingerprint

Dive into the research topics of 'Evidence and Belief'. Together they form a unique fingerprint.

Cite this