Authors
Peter JF Lucas
Publication date
2001/8/31
Journal
International Journal of Approximate Reasoning
Volume
27
Issue
2
Pages
99-119
Publisher
Elsevier
Description
Model-based diagnosis concerns using a model of the structure and behaviour of a system or device in order to establish why the system or device is malfunctioning. Traditionally, little attention has been given to the problem of dealing with uncertainty in model-based diagnosis. Given the fact that determining a diagnosis for a problem almost always involves uncertainty, this situation is not entirely satisfactory. This paper builds upon and extends previous work in model-based diagnosis by supplementing the well-known model-based framework with mathematically sound ways for dealing with uncertainty. The resulting method integrates logical reasoning with probabilistic reasoning, and reasoning about the structure and behaviour of a system with reasoning by taking stochastic independence assumptions into account.
Total citations
Scholar articles
PJF Lucas - International Journal of Approximate Reasoning, 2001