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Jun 27, 2024 · The Mini-Max algorithm is a decision-making algorithm used in artificial intelligence, particularly in game theory and computer games. It is designed to minimize the possible loss in a worst-case scenario (hence “min”) and maximize the potential gain (therefore “max”).
The minimax algorithm performs a depth-first search algorithm for the exploration of the complete game tree. The minimax algorithm proceeds all the way down to the terminal node of the tree, then backtrack the tree as the recursion.
Jun 13, 2022 · Minimax is a kind of backtracking algorithm that is used in decision making and game theory to find the optimal move for a player, assuming that your opponent also plays optimally. It is widely used in two player turn-based games such as Tic-Tac-Toe, Backgammon, Mancala, Chess, etc.
Minimax algorithm with alternate moves. A minimax algorithm is a recursive algorithm for choosing the next move in an n-player game, usually a two-player game. A value is associated with each position or state of the game.
Dec 9, 2020 · A minimax algorithm is a recursive program written to find the best gameplay that minimizes any tendency to lose a game while maximizing any opportunity to win the game. Graphically, we can represent minimax as an exploration of a game tree's nodes to discover the best game move to make.
Aug 20, 2023 · It is used to determine the optimal move for a player in a two-player game by considering all possible outcomes of the game. The algorithm helps in selecting the move that minimizes the maximum possible loss. The Min Max algorithm has many applications in game AI, decision-making, and optimization.
In game theory, minimax is a decision rule used to minimize the worst-case potential loss; in other words, a player considers all of the best opponent responses to his strategies, and selects the strategy such that the opponent's best strategy gives a payoff as large as possible.
Mar 18, 2024 · In this article, we have discussed the Minimax algorithm’s functionality and the domains where it’s usually applied. Then, we reviewed its weaknesses and introduced a pruning technique that is commonly used to tackle them.
Jun 24, 2024 · The minimax algorithm is a fundamental concept in artificial intelligence used for decision-making in games and other scenarios. It is widely used in two-player games where players alternate turns, such as tic-tac-toe, chess, backgammon, etc.
The Minimax algorithm is the most well-known strategy of play of two-player, zero-sum games. The minimax theorem was proven by John von Neumann in 1928. Minimax is a strategy of always minimizing the maximum possible loss which can result from a choice that a player makes.
