The Minimax algorithm is a decision-making strategy used in game theory and artificial intelligence. It helps players minimize their possible losses while maximizing their potential gains. The algorithm evaluates possible moves in a game, assuming that the opponent will also play optimally to minimize their losses. In a typical two-player game, Minimax explores all possible moves and their outcomes, creating a tree of decisions. Each node in the tree represents a game state, and the algorithm assigns values to these states based on the best possible outcome for the player. Ultimately, it selects the move that leads to the most favorable result.