Virtual Labs

What is the MinMax algorithm used for?

a: To minimize the maximum number of moves in a game. Explanation

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b: To maximize the minimum score in a game. Explanation

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c: To minimize the number of nodes in a search tree. Explanation

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d: To maximize the number of nodes in a search tree. Explanation

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Which of the following best describes the MinMax algorithm?

a: A greedy algorithm that chooses the best move at each step. Explanation

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b: A recursive algorithm that explores all possible moves and their outcomes. Explanation

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c: An iterative algorithm that uses dynamic programming to optimize the score. Explanation

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d: A heuristic algorithm that uses domain-specific knowledge to make decisions. Explanation

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In the MinMax algorithm, what is the role of the maximizing player?

a: To choose the move that maximizes their own score. Explanation

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b: To choose the move that minimizes the opponent's score. Explanation

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c: To choose the move that maximizes the opponent's score. Explanation

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d: To choose the move that minimizes their own score. Explanation

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In the MinMax algorithm, what is the role of the minimizing player?

a: To choose the move that maximizes their own score. Explanation

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b: To choose the move that minimizes the opponent's score Explanation

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c: To choose the move that maximizes the opponent's score. Explanation

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d: To choose the move that minimizes their own score. Explanation

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Which of the following is an advantage of the MinMax algorithm?

a: It guarantees an optimal solution. Explanation

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b: It is computationally efficient for large search spaces. Explanation

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c: It can handle games with imperfect information. Explanation

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d: It can be easily modified to handle different game rules. Explanation

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Which of the following is a limitation of the MinMax algorithm?

a: It requires perfect information about the game state. Explanation

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b: It is computationally expensive for large search spaces. Explanation

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c: It can only be used for two-player zero-sum games. Explanation

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Mini-Max Algorithm