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Universal prior — LessWrong

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A "universal" prior is a probability distribution that assigns positive probability to every thinkable hypothesis, for some reasonable meaning of "every thinkable hypothesis". A central example would be Solomonoff induction, in which the observations are a sequence of bits, the universal prior is "every possible computer program that generates bit sequences", and every such computer program starts with a positive probability. A "universal" prior is a probability distribution that assigns positive probability to every thinkable hypothesis, for some reasonable meaning of "every thinkable hypothesis". A central example would be Solomonoff induction, in which the observations are a sequence of bits, the universal prior is "every possible computer program that generates bit sequences", and every such computer program starts with a positive probability.

x Universal prior — LessWrong Universal prior Edited by Eliezer Yudkowsky last updated 22nd Jun 2016 A "universal" prior is a probability distribution that assigns positive probability to every thinkable hypothesis , for some reasonable meaning of "every thinkable hypothesis". A central example would be Solomonoff induction , in which the observations are a sequence of bits, the universal prior is "every possible computer program that generates bit sequences", and every such computer program starts with a positive probability. Parents: Inductive prior Discussion 1 Discussion 1

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