This AI uses a Minimax algorithm with depth-limited search and alpha-beta pruning to make smarter moves.
Minimax Algorithm: The AI evaluates possible moves up to 3 turns ahead, aiming to maximize
its chance of winning while minimizing the player's opportunities.
Winning and Blocking Moves: First, the AI looks for immediate winning moves. If none are
available, it checks for moves to block the player’s potential winning move.
Alpha-Beta Pruning: This technique helps the AI ignore parts of the search tree that won’t
affect the final decision, making the AI faster and more efficient.
Move Evaluation: The AI prioritizes moves based on potential to create lines of three or four
discs. Winning moves score the highest, followed by moves that create three-in-a-row with an open space.
Center Priority: The AI favors the center column when possible, as it increases its chances
to create Connect 4 lines in multiple directions.
This approach makes the AI challenging to beat by simulating and planning moves ahead, similar to strategies
used in complex games like chess.