Computational models of probabilistic reasoning in expert systems

A. Gammerman

Research output: Contribution to journalArticlepeer-review


Two approaches to adopting sound probabilistic approaches to uncertain inference in expert systems are considered. The first uses Bayesian inference without assuming independence. The second approach is based on causal graphs, or more correctly termed 'influence diagrams.' A model and its application to a medical database are presented.

Original languageEnglish
JournalIEE Colloquium (Digest)
Issue number86
Publication statusPublished - 1990
EventColloquium on Reasoning Under Uncertainty - London, Engl
Duration: 22 May 199022 May 1990


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