A method for managing evidential reasoning in a hierarchical hypothesis space
Artificial Intelligence
On evidential reasoning in a hierarchy of hypotheses
Artificial Intelligence
CONVINCE: a conversational inference consolidation engine
IEEE Transactions on Systems, Man and Cybernetics - Special issue on artificial intelligence
Implementing Dempster's rule for hierarchial evidence
Artificial Intelligence
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
On the conversion of rule bases into belief networks
SAC '92 Proceedings of the 1992 ACM/SIGAPP Symposium on Applied computing: technological challenges of the 1990's
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
On the conversion of rule bases into belief networks
SAC '92 Proceedings of the 1992 ACM/SIGAPP Symposium on Applied computing: technological challenges of the 1990's
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A belief network-based expert system works in a way entirely different from a rule-based expert system. In such systems, a high degree of non-determinism is present in the process of belief propagation. Existing belief network-based systems thus provide no control mechanism and let their users make decisions at every stage in the process of evidence gathering and belief propagation. However, for any real world expert system with large complex belief network, it is important to have efficient control of the inference procedure.In this paper we describe a novel expert system shell that incorporates a general inference control mechanism for efficient belief propagation in belief networks. The control knowledge supplied by domain experts is encoded in some action rules. With these action rules, the system can effectively direct the inference procedure, help the user to gather the most relevant evidence based on the results of previous stages, while the user of the system is still allowed to take the initiative.