The Minimax Algorithm is a decision-making strategy used in two-player games, such as chess or tic-tac-toe. It helps players determine the best possible move by minimizing the possible loss in a worst-case scenario. The algorithm evaluates all possible moves and their outcomes, assuming that the opponent will also play optimally to maximize their chances of winning. In the Minimax Algorithm, each player's goal is to maximize their score while minimizing their opponent's score. The algorithm creates a game tree, where each node represents a game state. By recursively analyzing these states, the algorithm identifies the optimal move for the current player, ensuring the best possible outcome in competitive situations.