Generating Bayesian Networks from Probability Logic Knowledge Bases

Abstract

We present a method for dynamically generating Bayesian networks from knowledge bases consisting of rst-order probability logic sentences. We present a subset of probability logic su cient for representing the class of Bayesian networks with discrete-valued nodes. We impose constraints on the form of the sentences that guarantee that the knowledge base… (More)

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