Universal Algorithmic Intelligence: a mathematical top->down approach
Sequential decision 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 parameter-free theory of universal Artificial Intelligence. We give strong arguments that the resulting AIXI model is the most intelligent unbiased agent possible. We outline how...[Show more]
|Collections||ANU Research Publications|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.