minimaxprinsip
The minimax principle is a decision rule used in game theory and artificial intelligence for minimizing the possible loss for a worst-case (maximum loss) scenario. It is often applied in two-player games where players have opposing interests, such as chess or tic-tac-toe. The core idea is that each player assumes the other player will make the move that is most advantageous to them, and therefore most detrimental to the first player. Consequently, the first player aims to choose a move that maximizes their minimum possible outcome, considering all possible responses from the opponent.
In practical terms, this involves constructing a game tree where each node represents a game state and