The equivalence of the universal distribution, the a priori probability and the negative exponential of Kolmogorov complexity is a well known result. The natural analogs of Kolmogorov complexity and of a priori probability in the time-bounded setting are not eficiently computable under reasonable assumptions. In contrast, it is known that for every polynomial p, distributions universal for the class of p-time computable distributions can be computed in polynomial time. We show that in the time-bounded setting the universal distribution gives rise to sensible notions of Kolmogorov complexity and of a priori probability.
CITATION STYLE
Schuler, R. (1999). Universal distributions and time-bounded kolmogorov complexity. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1563, pp. 434–443). Springer Verlag. https://doi.org/10.1007/3-540-49116-3_41
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