Artificial Intelligence Adversarial Search(Min Max algorithm, Alpha Beta Pruning, Game Playing Adversarial search is a type of search in artificial intelligence (AI) that is used to solve games. In adversarial search, there are two players who are trying to achieve different goals. The goal of the search is to find a sequence of moves that will lead to the player's desired outcome more . The most common algorithm for adversarial search is the minimax algorithm. The minimax algorithm works by recursively searching through the game tree, evaluating each node in the tree based on a heuristic function . The heuristic function is a function that estimates the value of a game state. The minimax algorithm then chooses the move that leads to the best possible outcome for the player. A more efficient version of the minimax algorithm is alpha-beta pruning. Alpha-beta pruning works by reducing the number of nodes that need to be evaluated by the minimax algorithm. Alpha-beta prun...
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