👉 Blackjack computing, also known as blackjack tree or Monte Carlo tree search (MCTS), is an advanced algorithm used in decision-making processes, particularly in games like blackjack where the optimal move depends on uncertain future outcomes. It simulates numerous possible game scenarios by randomly sampling possible card distributions and player actions, creating a "tree" of potential outcomes. This process evaluates the value of each node in the tree based on expected gains or losses, allowing the algorithm to make informed decisions by choosing the path with the highest expected utility. By balancing exploration (trying new strategies) and exploitation (using known successful strategies), blackjack computing provides a robust method for players to maximize their chances of winning against a human opponent, even when the opponent's actions are unknown.
