
Minimax Algorithm and Alpha-Beta Pruning
Authored by Yosi Kristian
Computers
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12 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In which type of games is the Minimax algorithm commonly used?
Cooperative games
Zero-sum games
Single-player puzzle games
Real-time strategy games
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does Alpha-Beta Pruning help to reduce in the Minimax algorithm?
The number of nodes evaluated
The depth of the search tree
The algorithm's complexity
The memory usage
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the Alpha-Beta Pruning algorithm decide whether to prune a branch or not?
Based on the depth of the branch
Based on the comparison between alpha and beta values
Based on the number of nodes in the branch
Based on the time elapsed since the search started
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the term 'branching factor' refer to in a game tree?
The number of possible moves from a given game state
The depth of the tree
The total number of nodes
The number of terminal nodes
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main drawback of the basic Minimax algorithm?
It requires human intervention.
It is too fast and skips important calculations.
It can be computationally expensive for large trees.
It is too simple for any practical use.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the context of adversarial search, what is a 'utility function'?
A function that generates random moves
A function that calculates the desirability of a states in a game tree with limited depth
A function that connects to a utility server
A function that minimizes utility costs
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does Alpha-Beta Pruning improve the efficiency of the Minimax algorithm?
By using less memory
By eliminating the need for a search tree
By skipping the evaluation of certain branches
By reducing the number of players in the game
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