Simple Explanation of the Minimax Algorithm with Tic-Tac-Toe

The video tutorial explains the minimax algorithm using Tic Tac Toe as an example. It begins with a brief overview of the game and introduces the minimax algorithm as a decision-making tool that anticipates future moves. The tutorial covers the key components of the algorithm, including the evaluation function and the roles of maximizing and minimizing players. It then details the step-by-step process of the algorithm, highlighting the base case, recursive exploration, and backtracking. The tutorial concludes by summarizing the algorithm's ability to systematically explore game trees and choose optimal paths.

What is the primary goal of the minimax algorithm in the context of Tic Tac Toe?

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Explain the role of the evaluation function in the minimax algorithm.

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Describe the difference between the maximizing player and the minimizing player in the minimax algorithm.

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What does the term 'game tree' refer to in the context of the minimax algorithm?

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How does the minimax algorithm handle backtracking during its decision-making process?

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