Maximum entropy is a concept in information theory that represents the highest level of uncertainty or randomness in a probability distribution. It occurs when all outcomes are equally likely, reflecting the idea that, without additional information, one cannot predict which outcome will occur. This concept is crucial for understanding Shannon entropy, as it establishes a baseline for measuring information content and uncertainty within a system.
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