Virtual Labs

What is the goal of the minmax algorithm in AI?

a: To maximize the utility function Explanation

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b: To minimize the cost function Explanation

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c: To find the optimal move in a two-player zero-sum game Explanation

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d: To find the shortest path in a graph Explanation

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What is the minmax value of a node in a game tree?

a: The maximum possible utility value that can be obtained from that node Explanation

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b: The minimum possible utility value that can be obtained from that node Explanation

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c: The average of the maximum and minimum utility values that can be obtained from that node Explanation

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d: The sum of the maximum and minimum utility values that can be obtained from that node Explanation

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What is alpha-beta pruning in the minmax algorithm?

a: A technique for reducing the size of the game tree Explanation

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b: A technique for assigning weights to the edges of the game tree Explanation

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c: A technique for selecting the best move from the game tree Explanation

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d: A technique for improving the accuracy of the utility function Explanation

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Which of the following is a disadvantage of the minmax algorithm?

a: It requires a complete game tree to be generated Explanation

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b: It only works for two-player zero-sum games Explanation

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c: It can be slow for large game trees Explanation

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d: It cannot handle incomplete information games Explanation

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What is the depth-limited minmax algorithm?

a: A version of the minmax algorithm that limits the depth of the game tree Explanation

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b: A version of the minmax algorithm that assigns weights to the edges of the game tree Explanation

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c: A version of the minmax algorithm that uses a heuristic evaluation function Explanation

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d: A version of the minmax algorithm that works for incomplete information games Explanation

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What is the purpose of the evaluation function in the minmax algorithm?

a: To assign weights to the edges of the game tree Explanation

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b: To generate the game tree Explanation

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c: To determine the utility value of a node in the game tree Explanation

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Mini-Max Algorithm