The Min-Max Algorithm is a decision-making algorithm widely used in Artificial Intelligence for two-player, zero-sum games such as Tic-Tac-Toe, Chess, and Checkers. The algorithm assumes that one player, called the maximizer, attempts to obtain the highest possible score, while the other player, called the minimizer, attempts to reduce the score. The Min-Max Algorithm recursively explores all possible moves and chooses the move that provides the best outcome, assuming both players play optimally. It is commonly implemented using recursion and a game tree, where leaf nodes represent terminal game states with associated evaluation values. The following Python program demonstrates the implementation of the Min-Max Algorithm using a simple game tree represented as a list of terminal values. ```python import math def minimax(depth, nodeIndex, isMax, scores,