Mathematical metaphysics of randomness
Theoretical Computer Science - Special issue Kolmogorov complexity
A separation of two randomness concepts
Information Processing Letters
Theoretical Computer Science
Computability and Randomness
How to build a probability-free casino
Information and Computation
Arithmetic complexity via effective names for random sequences
ACM Transactions on Computational Logic (TOCL)
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In the theory of algorithmic randomness, one of the central notions is that of computable randomness. An infinite binary sequence X is computably random if no recursive martingale (strategy) can win an infinite amount of money by betting on the values of the bits of X. In the classical model, the martingales considered are real-valued, that is, the bets made by the martingale can be arbitrary real numbers. In this paper, we investigate a more restricted model, where only integer-valued martingales are considered, and we study the class of random sequences induced by this model.