Simple Explanation of the Minimax Algorithm with Alpha-Beta Pruning with Connect 4

The video explores the Minimax algorithm and its application in Connect Four, highlighting its inefficiencies due to computational constraints. It introduces the concept of using an evaluation function to improve decision-making speed and accuracy. The video further explains alpha beta pruning as a technique to optimize Minimax by reducing the number of nodes evaluated, thus saving computation time. A detailed walkthrough of the alpha beta pruning process is provided, demonstrating how it maintains the accuracy of Minimax while enhancing its efficiency. The video concludes with a summary of the benefits of using Minimax with alpha beta pruning.

What challenges does the Mini Max algorithm face during gameplay?

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How does alpha beta pruning improve the efficiency of the Mini Max algorithm?

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In what scenarios might alpha beta pruning not be effective?

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