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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

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.

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

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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.