minimaxbased
Minimaxbased is a descriptor used in artificial intelligence and decision theory to indicate methods or systems that apply the minimax decision rule to select actions in adversarial environments. Such approaches assume an opponent who acts to maximize the agent’s loss and aim to minimize the worst-case outcome.
Practically, minimax-based methods build a decision tree of possible moves and outcome values, then propagate values
Common domains include two-player, zero-sum games such as chess, checkers, and tic-tac-toe, where minimax is a
Limitations include reliance on accurate modeling of the opponent and complete information; computational complexity grows exponentially
Relationship to related concepts: minimax-based methods are a subset of adversarial search and are closely related