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Many statements from the classic information theory (the theory of Shannon'sentropy) have natural counterparts in the algorithmic information theory (inthe framework of Kolmogorov complexity). In this paper we discuss one simpleinstance of the parallelism between Shannon's and Kolmogorov's theories: weprove in the setting of Kolmogorov complexity a version of Wolf'scharacterization of admissible rates for the fork network.

Coding in the fork network in the framework of Kolmogorov complexity