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Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence (1990)
This is the Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence, which was held in Cambridge, MA, Jul 27 - Jul 29, 1990
Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (1989)
This is the Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence, which was held in Windsor, ON, August 18-20, 1989
A Comparison of Decision Analysis and Expert Rules for Sequential Diagnosis
We report an experimental comparison of the performance of the two approaches to troubleshooting, specifically to test selection for fault diagnosis.
How Much More Probable is "Much More Probable"? Verbal Expressions for Probability Updates
Bayesian inference systems should be able to explain their reasoning to users, translating from numerical to natural language.
Practical Issues in Constructing a Bayes' Belief Network
Bayes belief networks and influence diagrams are tools for constructing coherent probabilistic representations of uncertain knowledge.
A Framework for Comparing Uncertain Inference Systems to Probability
Several different uncertain inference systems (UISs) have been developed for representing uncertainty in rule-based expert systems.
Qualitative Propagation and Scenario-based Explanation of Probabilistic Reasoning
A study of human reasoning under uncertainty suggests two different strategies for explaining probabilistic reasoning: The first, qualitative belief propagation, traces the qualitative effect of evidence through a belief network from one variable to the next.
