The Atlantic City algorithm is a method used in computer science and mathematics, particularly in the context of decision-making and game theory. It is often associated with the analysis of strategies in games where players have to make choices based on uncertain information or specific conditions. While the exact definitions and applications can vary, the concept generally emphasizes the importance of adaptability and strategy optimization in uncertain environments.
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