AAI-Module 3 & 4 Quiz

A _________________ is a directed graph in which each node is annotated with quantitative

probability information.

What does the bayesian network provides?

• Complete description of the domain

• Partial description of the domain

• Complete description of the problem

• Overview of the problem definition

How the entries in the full joint probability distribution can be calculated?

• Using variables

• Using information

• Using a & b

• none of the above

In a Bayesian network variable is?

• continuous 

• discrete

• random

• both a & b

If we have variables x1, x2, x3,....., xn, then the probabilities of a different combination of x1, x2, x3.. xn, are known as?

• Table of conditional probabilities

• Causal Component

• Actual numbers

• Joint probability distribution

The compactness of Bayesian networks is an example of a general property of ________________ systems

If we assume n Boolean variables for simplicity, then the amount of information needed to specify each conditional probability table will be at most 2k numbers, and the complete network can be specified by _________ numbers

• n2^k

• 2nk

• n²k

• kn²

A node is conditionally independent of all other nodes in the network, given its parents, children and children’s parents is known as _________

A ____________ node has its value specified exactly by the values of its parents, with no uncertainty.

A network with both discrete and continuous variables is called a ________