Comparing GDE and Conflict-based Diagnosis

Conflict-based diagnosis is a recently proposed method for model-based diagnosis, inspired by consistency-based diagnosis, that incorporates a measure of data conflict, called the diagnostic conflict measure, to rank diagnoses. The probabilistic information that is required to compute the diagnostic conflict measure is represented by means of a Bayesian network. The general diagnostic engine is a classical implementation of consistency-based diagnosis and incorporates a way to rank diagnoses using probabilistic information. Although conflict-based and consistency-based diagnosis are related, the way the general diagnostic engine handles probabilistic information to rank diagnoses is different from the method used in conflict-based diagnosis. In this paper, both methods are compared to each other.