While famously used in Deep Blue (the IBM computer that beat Garry Kasparov), Minimax logic extends into other fields:
Mastering Minimax: The Brain Behind Strategic AI Whether you’re battling a computer at Chess, Tic-Tac-Toe, or Mancala, you are likely competing against a . Since the mid-20th century, this decision-making strategy has served as the backbone of game theory and artificial intelligence, providing a mathematical framework for winning in competitive environments. minimax
There are two participants (traditionally called "Maximizer" and "Minimizer"). While famously used in Deep Blue (the IBM
The Maximizer tries to get the highest score possible. They look at all available moves and choose the one that leads to the greatest "utility" or value. 2. The Minimizer (The Opponent) The Maximizer tries to get the highest score possible
Since the AI can’t always reach the "end" of a game like Chess, it uses a heuristic to guess who is winning at a certain depth. For example, it might assign points based on piece value (Queen = 9, Pawn = 1) or board position. Beyond Games: Real-World Applications