NTA UGC NET Dec 2023 Paper-2
May 23, 2024NTA UGC NET Dec 2023 Paper-2
May 23, 2024NTA UGC NET Dec 2023 Paper-2
Question 20 |
In the content of Alpha Beta pruning i in game trees which of the following statements are correct regarding cut off procedures
(A) Alpha Beta pruning can eliminate with certainly when the value of a node exceeds both the alpha and beta bonds.
(B) The primarily purpose of Alpha-pruning is to save computation time by searching fewer nodes in the same tree.
(C) Alpha Beta pruning the optimal solution in all cases by exploring the entire game tree.
(D) Alpha and Beta bonds are initialized to negative and positive infinity respectively at the root node.
Choose the correct answer from the options given below :
(A) Alpha Beta pruning can eliminate with certainly when the value of a node exceeds both the alpha and beta bonds.
(B) The primarily purpose of Alpha-pruning is to save computation time by searching fewer nodes in the same tree.
(C) Alpha Beta pruning the optimal solution in all cases by exploring the entire game tree.
(D) Alpha and Beta bonds are initialized to negative and positive infinity respectively at the root node.
Choose the correct answer from the options given below :
(A), (C), (D) only | |
(B), (C), (D) only | |
(A), (B), (D) only | |
(C ), (B) only |
Question 20 Explanation:
(A) Alpha Beta pruning can eliminate with certainty when the value of a node exceeds both the alpha and beta bounds.
This statement is correct. When the value of a node exceeds both the alpha and beta bounds, it means that the subtree rooted at that node does not need to be explored further because it cannot affect the final result due to pruning.
(B) The primary purpose of Alpha-Beta pruning is to save computation time by searching fewer nodes in the same tree.
This statement is correct. Alpha-Beta pruning aims to reduce the number of nodes evaluated during the search process, thus saving computational time by eliminating the need to explore certain branches of the game tree.
(C) Alpha Beta pruning finds the optimal solution in all cases by exploring the entire game tree.
This statement is incorrect. Alpha-Beta pruning does not guarantee finding the optimal solution in all cases. It may still miss the optimal solution if the optimal path is pruned early in the search. However, it does guarantee finding the optimal solution in certain cases, particularly in game trees with specific properties.
(D) Alpha and Beta bounds are initialized to negative and positive infinity, respectively, at the root node.
This statement is correct. Typically, in Alpha-Beta pruning, the alpha and beta bounds are initialized to negative and positive infinity, respectively, at the root node before the search begins.
This statement is correct. When the value of a node exceeds both the alpha and beta bounds, it means that the subtree rooted at that node does not need to be explored further because it cannot affect the final result due to pruning.
(B) The primary purpose of Alpha-Beta pruning is to save computation time by searching fewer nodes in the same tree.
This statement is correct. Alpha-Beta pruning aims to reduce the number of nodes evaluated during the search process, thus saving computational time by eliminating the need to explore certain branches of the game tree.
(C) Alpha Beta pruning finds the optimal solution in all cases by exploring the entire game tree.
This statement is incorrect. Alpha-Beta pruning does not guarantee finding the optimal solution in all cases. It may still miss the optimal solution if the optimal path is pruned early in the search. However, it does guarantee finding the optimal solution in certain cases, particularly in game trees with specific properties.
(D) Alpha and Beta bounds are initialized to negative and positive infinity, respectively, at the root node.
This statement is correct. Typically, in Alpha-Beta pruning, the alpha and beta bounds are initialized to negative and positive infinity, respectively, at the root node before the search begins.
Correct Answer: C
Question 20 Explanation:
(A) Alpha Beta pruning can eliminate with certainty when the value of a node exceeds both the alpha and beta bounds.
This statement is correct. When the value of a node exceeds both the alpha and beta bounds, it means that the subtree rooted at that node does not need to be explored further because it cannot affect the final result due to pruning.
(B) The primary purpose of Alpha-Beta pruning is to save computation time by searching fewer nodes in the same tree.
This statement is correct. Alpha-Beta pruning aims to reduce the number of nodes evaluated during the search process, thus saving computational time by eliminating the need to explore certain branches of the game tree.
(C) Alpha Beta pruning finds the optimal solution in all cases by exploring the entire game tree.
This statement is incorrect. Alpha-Beta pruning does not guarantee finding the optimal solution in all cases. It may still miss the optimal solution if the optimal path is pruned early in the search. However, it does guarantee finding the optimal solution in certain cases, particularly in game trees with specific properties.
(D) Alpha and Beta bounds are initialized to negative and positive infinity, respectively, at the root node.
This statement is correct. Typically, in Alpha-Beta pruning, the alpha and beta bounds are initialized to negative and positive infinity, respectively, at the root node before the search begins.
This statement is correct. When the value of a node exceeds both the alpha and beta bounds, it means that the subtree rooted at that node does not need to be explored further because it cannot affect the final result due to pruning.
(B) The primary purpose of Alpha-Beta pruning is to save computation time by searching fewer nodes in the same tree.
This statement is correct. Alpha-Beta pruning aims to reduce the number of nodes evaluated during the search process, thus saving computational time by eliminating the need to explore certain branches of the game tree.
(C) Alpha Beta pruning finds the optimal solution in all cases by exploring the entire game tree.
This statement is incorrect. Alpha-Beta pruning does not guarantee finding the optimal solution in all cases. It may still miss the optimal solution if the optimal path is pruned early in the search. However, it does guarantee finding the optimal solution in certain cases, particularly in game trees with specific properties.
(D) Alpha and Beta bounds are initialized to negative and positive infinity, respectively, at the root node.
This statement is correct. Typically, in Alpha-Beta pruning, the alpha and beta bounds are initialized to negative and positive infinity, respectively, at the root node before the search begins.
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