Artificial Intelligence 5 2 1 The Minimax Search Algorithm Youtube First order logic in artificial intelligence. mini max algorithm is a recursive or backtracking algorithm which is used in decision making and game theory. it provides an optimal move for the player assuming that opponent is also playing optimally. mini max algorithm uses recursion to search through the game tree. 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”). in a two player game, one player is the maximizer, aiming to.
Mini Max Algorithm In Artificial Intelligence Universitymcqs In decision making and game theory, the mini max algorithm is a recursive or backtracking method. it suggests the best move for the player, provided that the opponent is likewise playing well. in ai, the min max algorithm is mostly employed for game play. chess, checkers, tic tac toe, go, and other two player games are examples. Mini max algorithm is a recursive or backtracking algorithm which is used in decision making and game theory. it provides an optimal move for the player assuming that opponent is also playing optimally. mini max algorithm uses recursion to search through the game tree. min max algorithm is mostly used for game playing in ai. If you are also on a similar path, let me take you through the steps to build an unbeatable ai (artificial intelligence). step 1: understand the basics of the minimax algorithm. 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. The min max algorithm is a decision making algorithm used in the field of game theory and artificial intelligence. 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.
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