minimaxWert

minimaxWert is a term that arises in the context of game theory and artificial intelligence, particularly in algorithms designed to play games like chess or tic-tac-toe. It represents the optimal value achievable by a player assuming the opponent also plays optimally. The minimax algorithm is a recursive decision-making algorithm that explores a game tree. At each node in the tree, it considers all possible moves. For the current player, it aims to maximize the score (the "max" part), while for the opponent, it aims to minimize the score (the "min" part). The minimaxWert is the score at the root of the game tree that the maximizing player can guarantee, assuming the minimizing player will always make the move that results in the worst outcome for the maximizing player. It is a fundamental concept for developing intelligent agents that can make strategic decisions in adversarial environments. Understanding the minimaxWert helps in evaluating positions and predicting the outcome of a game given optimal play from both sides.