The universal distribution is
discovered by Ray J. Solomonoff (ref. “The universal distribution and Machine Learning” ) for every value X this is the distribution of the program that output X . This is the probability to obtain X running programs.
What happen if we place the M bound on the available space?
where R is the set of all existing programs