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A review of explanation methods for Bayesian networks

Published online by Cambridge University Press:  01 April 2003

CARMEN LACAVE  and
FRANCISCO J DÍEZ
CARMEN LACAVE
Affiliation:
Dept. Computer Science, University of Castilla-La Mancha, Paseo de la Universidad, s/n 13071 Ciudad Real, Spain; email: clacave@inf-cr.uclm.es
FRANCISCO J DÍEZ
Affiliation:
Dept. Artificial Intelligence, UNED, Senda del Rey, 9, 28040 Madrid, Spain; email: fjdiez@dia.uned.es
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Abstract

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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.

Information

Type
Research Article
Information
The Knowledge Engineering Review , Volume 17 , Issue 2 , June 2002 , pp. 107 - 127
Copyright
© 2002 Cambridge University Press

Footnotes

This work has been partially supported by the Spanish CICYT under project TIC-97-1135-C04. We thank Marek Druzdzel and the anonymous reviewers of the Knowledge Engineering Review for their comments on this paper.