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Resource-Bounded Balanced Genericity, Stochasticity and Weak Randomness

机译:资源有限的平衡常见性,随机性和弱随机性

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We introduce balanced t(n)-genericity which is a refinement of the genericity concept of Ambos-Spies, Fleischhack and Huwig and which in addition controls the frequency with which a condition is met. We show that this concept coincides with the resource-bounded version of Church's stochasticity. By uniformly describing these concepts and weaker notions of stochsticity introduced by Wilber and Ko in terms of prediction functions, we clarify the relations among these resource-bounded stochasticity concepts. Moreover, we give descriptions of these concepts in the framework of Lutz's resource-bounded measure theory based on martingales: We show that t(n)-stochasticity coincides with a weak notion of t(n)-randomness based on so-called simple martingales but that it is strictly weaker than t(n)-randomness in the sense of Lutz.
机译:我们介绍了平衡的T(n) - 那种,这是一个改进Ambos-spies,Fleischhack和Huwig的常见概念,并且另外控制满足条件的频率。我们表明,这一概念与教会的随机性的资源有限版本恰逢其同。通过统一地描述Wilber和Ko在预测函数方面所引入的这些概念和较弱的概念,我们阐明了这些资源有限的随机概念之间的关系。此外,我们在基于Martingales的基于Martingales的Lutz资源有限措施理论框架中说明了这些概念:我们表明T(n) - 基于所谓的简单Martingales的T(n)-Randomness的弱概念但是,它比Lutz意义上的t(n) - 令人疲软。

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