Understanding the Minimax Algorithm in Tic Tac Toe

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

• To play the game without any strategy

• To always end the game in a draw

• To maximize the player's advantage while minimizing the opponent's potential gains

• To randomly select moves

What role does the evaluation function play in the Minimax algorithm?

• It decides the next move randomly

• It ends the game immediately

• It switches the roles of players

• It assigns scores to board states to determine their favorability

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

• To maximize their own advantage

• To end the game as quickly as possible

• To minimize the opponent's score

• To always play defensively

What does the Minimax algorithm do during the recursive exploration phase?

• It ends the game immediately

• It only considers the current state

• It explores all possible moves and outcomes

• It ignores future moves

How does the Minimax algorithm ensure an optimal outcome for the player it represents?

• By ignoring the opponent's moves

• By strategically choosing paths through backtracking

• By randomly selecting moves

• By ending the game in a draw