Question

What is probabilistic inference? The computation of posterior probabilities for query propositions given observed evidence The computation of prior probabilities The retrieval of existing prior probabilities for query propositions An educated guess on prior states to allow for the computation of otherwise unknown probabilities

Answer 1

As per HOMEWORKLIB RULES answering first two parts:

Part a) Probablistic inference: Option A is correct choice as posterior probabilities with some given evidence are considered to calculate probablistic inference. Option B, C and D are incorrect as they are clearly talking for prior probabilities.

Part b) As per simple definition of bayesian Network, Bayesian network is a Directed Acyclic Graph. It is not a tree, star topology, neither a direct cyclic graph

Part c) Bayesian Network is a Acylcic Graph and it doesnt contain any cycle, Means 0 (zero) is correct answer. As we know Zero is the right answer thus other option are incorrect