It assumes that the opponent is also playing optimally, trying to minimize the AI's score. The algorithm achieves this by exploring all possible moves on the game board and assigning a score to each position. ![]() The primary goal of Minimax is to determine the best possible move for the AI player, maximizing its chances of winning and minimizing potential losses. So, what exactly is the Minimax algorithm, and how does it enhance the gaming experience? In a nutshell, Minimax is an artificial intelligence (AI) algorithm used in two-player games, like Tic-Tac-Toe. This game brings together classic gameplay with the strategic brilliance of the Minimax algorithm, making it an exhilarating challenge for players of all levels. ![]() Though seemingly elementary, this classic game presents intriguing challenges when played on a larger grid, such as 6圆, with the victory condition being four symbols in a row, akin to the famous "Connect Four." Recently, I decided to explore AI algorithms in a game much simpler than chess - Tic-Tac-Toe. Witnessing the continuous advancement of AI algorithms and their ability to outperform human intellect in various strategic games has been nothing short of awe-inspiring. The remarkable strides that AI has made over the years have captivated my imagination. The historic clash between Kasparov and Deep Blue left an indelible mark on me, sparking a profound curiosity for artificial intelligence and its potential in the realm of gaming. ![]() Since an early age, my fascination with the game of chess has been unwavering. Throughout my childhood, I embarked on an ambitious journey to craft my own video games, igniting a dream that would shape my path as a software developer in the years to come.
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