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Explain the two components of Bayesian logic program?

Answer Posted / Mr Inder Kumar Maran

A Bayesian logic program consists of two main components: 1) Background knowledge, which represents the prior beliefs about the domain in first-order logic form. This knowledge is usually expressed as a set of Horn clauses that define relationships between objects and concepts. 2) Evidence or Query, which consists of facts or observations that are known or observed in the given problem. The goal is to update the belief state using Bayes' theorem based on the available evidence.

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