Author:
LACAVE CARMEN,DÍEZ FRANCISCO J
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.
Publisher
Cambridge University Press (CUP)
Subject
Artificial Intelligence,Software
Cited by
145 articles.
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