A review of explanation methods for Bayesian networks

One of the key factors for the acceptance of expert systems in real-world domains is the ability to explain their reasoning (Buchanan & Shortliffe, 1984; Henrion & Druzdzel, 1990). This paper describes the basic properties that characterise explanation methods and reviews the methods develop...

Full description

Saved in:
Bibliographic Details
Published inKnowledge engineering review Vol. 17; no. 2; pp. 107 - 127
Main Authors LACAVE, CARMEN, DÍEZ, FRANCISCO J
Format Journal Article
LanguageEnglish
Published Cambridge, UK Cambridge University Press 01.06.2002
Subjects
Computers
Dictionaries
Intelligence
Knowledge
Probability
Random variables
Software engineering
Online AccessGet full text

Cover

More Information
Summary:One of the key factors for the acceptance of expert systems in real-world domains is the ability to explain their reasoning (Buchanan & Shortliffe, 1984; Henrion & Druzdzel, 1990). This paper describes the basic properties that characterise explanation methods and reviews the methods developed to date for explanation in Bayesian networks.
Bibliography:ark:/67375/6GQ-1N8V2DVK-W
istex:1C0C83E6C0B49D7F3AC7CD376EDB85A03FE6B4F1
PII:S026988890200019X
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0269-8889
1469-8005
DOI:10.1017/S026988890200019X