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What is the consequence between a node and its predecessors while creating bayesian network?

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What is the consequence between a node and its predecessors while creating bayesian network?

(a) Functionally dependent

(b) Dependant

(c) Conditionally independent

(d) Both Conditionally dependant & Dependant

I got this question by my college director while I was bunking the class.

The question is from Bayesian Networks in portion Uncertain Knowledge and Reasoning of Artificial Intelligence

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The correct answer is (c) Conditionally independent

The explanation is: The semantics to derive a method for constructing bayesian networks were led to the consequence that a node can be conditionally independent of its predecessors.

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