Non-Algorithmic Theory of Randomness
2020; Springer Science+Business Media; Linguagem: Inglês
10.1007/978-3-030-48006-6_21
ISSN1611-3349
Autores Tópico(s)Fractal and DNA sequence analysis
ResumoThis paper proposes an alternative language for expressing results of the algorithmic theory of randomness. The language is more precise in that it does not involve unspecified additive or multiplicative constants, making mathematical results, in principle, applicable in practice. Our main testing ground for the proposed language is the problem of defining Bernoulli sequences, which was of great interest to Andrei Kolmogorov and his students.
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