Solomonoff's inductive inference is a mathematically formalized Occam's razor: shorter computable theories have more weight when calculating the probability of the next observation, using all computable theories which perfectly describe previous observations.

Solomonoff's inductive inference is a mathematical proof of a statement akin to Occam's razor, under the assumption that the environment follows some unknown but computable probability of distribution.

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