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A Gentle Introduction to The Universal Algorithmic Agent AIXIby: Marcus Hutter
edited by: B. Goertzel, C. Pennachin |
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AbstractDecision theory formally solves the problem of rational agents in uncertain worlds if the true environmental prior probability distribution is known. Solomonoff's theory of universal induction formally solves the problem of sequence prediction for unknown prior distribution. We combine both ideas and get a parameterless theory of universal Artificial Intelligence. We give strong arguments that the resulting AIXI model is the most intelligent unbiased agent possible. We outline for a number of...
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