A theory of diagnosis from first principles
Artificial Intelligence
A generalization of the algorithm of Heidtmann to non-monotone formulas
Journal of Computational and Applied Mathematics
Model-based diagnostics and probabilistic assumption-based reasoning
Artificial Intelligence
Decomposable negation normal form
Journal of the ACM (JACM)
Axioms for probability and belief-function proagation
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
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Importance measures are a well-known concept developed in reliability theory. Here, we apply this concept to assumption-based reasoning, a field which in fact is quite close to reliability theory. Based on quasi-supporting and supporting arguments, we develop two concepts of importance measures and show how they are related to the ones from reliability theory.