Abstract
Abstract We propose a knowledge representation architecture organized in three levels—a causal network (containing the domain knowledge), medical strategies and causal reasoning—and expose the fundamentals of a mathematical model for computing probaility through the application of Bayes' theorem in a causal network.
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