Machine Learning Street Talk (MLST) cover image

THE HARD PROBLEM OF OBSERVERS - WOLFRAM & FRISTON [SPECIAL EDITION]

Machine Learning Street Talk (MLST)

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The Role of Surprise Minimization in Information Seeking Behavior

When we are surprised, we tend to seek information and respond to novelty and sensation./nThe purpose of interviews like this one is to gain information and celebrate information-seeking behavior./nTo minimize surprise, we are more likely to choose actions that reduce uncertainty and entropy./nExpected surprise is the same as expected self-information or uncertainty.

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