Minimax

Minimax (sometimes MinMax or MM) is a decision rule used in decision theory, game theory, statistics and philosophy for minimizing the possible loss for a worst case (maximum loss) scenario.

Description

Originally formulated for two-player zero-sum game theory, covering both the cases where players take alternate moves and those where they make simultaneous moves, it has also been extended to more complex games and to general decision-making in the presence of uncertainty.

See also

• Alpha-beta pruning
• Claude Shannon
• Computer chess
• Expectiminimax
• Game theory
• Horizon effect
• Minimax Condorcet
• Monte Carlo tree search
• Minimax regret
• Negamax
• Negascout
• Sion's minimax theorem
• Transposition table
• Wald's maximin model

External links

• Minimax @ Wikipedia