Answer Posted / Anshu Prabha

A Bayesian logic program consists of two main components: prior beliefs and conditional likelihood. Prior beliefs represent our assumptions about the probability distribution of variables before observing any data. Conditional likelihood, on the other hand, defines the probability distribution of observations given certain conditions.

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