Minimax Algorithm

The Minimax algorithm is a decision-making tool used in two-player games like chess or tic-tac-toe. It helps players choose moves by simulating possible future moves and selecting the best outcome. The algorithm assumes that both players play optimally: one tries to maximize their chances of winning, while the other tries to minimize it. It explores future game states, assigning scores to outcomes, and then works backward to identify the move that leads to the most favorable result. This process allows players to make strategic decisions based on the anticipated responses of their opponent.