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The minimax theorem is a fundamental concept in game theory. It states that in a two-person constant-sum game, the lowest maximum expected loss for one player is equal to the highest minimum expected gain for the other player. This means there's a value, v, that represents the optimal outcome for both players when they employ their best strategies.12

The minimax principle, related to this theorem, suggests choosing an action that minimizes potential losses, even in the worst-case scenario. When no "saddlepoint" (a clear best strategy) exists, players use mixed strategies, choosing actions based on probability distributions to make themselves unpredictable and achieve the optimal outcome v.32

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