Engineering Questions with Answers - Multiple Choice Questions

# Artificial Intelligence MCQ – Alpha Beta Pruning

1 - Question

Which search is equal to minimax search but eliminates the branches that can’t influence the final decision?
a) Depth-first search
c) Alpha-beta pruning
d) None of the mentioned

Explanation: The alpha-beta search computes the same optimal moves as minimax, but eliminates the branches that can’t influence the final decision.

2 - Question

Which values are independant in minimax search algorithm?
a) Pruned leaves x and y
b) Every states are dependant
c) Root is independant
d) None of the mentioned

Explanation: The minimax decision are independant of the values of the pruned values x and y because of the root values.

3 - Question

To which depth does the alpha-beta pruning can be applied?
a) 10 states
b) 8 States
c) 6 States
d) Any depth

Explanation: Alpha–beta pruning can be applied to trees of any depth and it is possible to prune entire subtree rather than leaves.

4 - Question

Which search is similar to minimax search?
a) Hill-climbing search
b) Depth-first search
d) All of the mentioned

Explanation: The minimax search is depth-first search, So at one time we just have to consider the nodes along a single path in the tree.

5 - Question

Which value is assigned to alpha and beta in the alpha-beta pruning?
a) Alpha = max
b) Beta = min
c) Beta = max
d) Both Alpha = max & Beta = min

Explanation: Alpha and beta are the values of the best choice we have found so far at any choice point along the path for MAX and MIN.

6 - Question

Where does the values of alpha-beta search get updated?
a) Along the path of search
b) Initial state itself
c) At the end
d) None of the mentioned

Explanation: Alpha-beta search updates the value of alpha and beta as it gets along and prunes the remaining branches at node.

7 - Question

How the effectiveness of the alpha-beta pruning gets increased?
a) Depends on the nodes
b) Depends on the order in which they are executed
c) All of the mentioned
d) None of the mentioned

Explanation: None.

8 - Question

What is called as transposition table?
a) Hash table of next seen positions
b) Hash table of previously seen positions
c) Next value in the search
d) None of the mentioned

Explanation: Transposition is the occurrence of repeated states frequently in the search.

9 - Question

Which is identical to the closed list in Graph search?
a) Hill climbing search algorithm
b) Depth-first search
c) Transposition table
d) None of the mentioned

Explanation: None.

10 - Question

Which function is used to calculate the feasibility of whole game tree?
a) Evaluation function
b) Transposition
c) Alpha-beta pruning
d) All of the mentioned