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Resource-Bounded Balanced Genericity, Stochasticity and Weak Randomness

机译:资源有限的平衡一般性,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)泛型,它是对Ambos-Spies,Fleischhack和Huwig的泛型概念的改进,此外还控制满足条件的频率。我们证明了这个概念与教会的随机性的资源有限版本相吻合。通过统一描述这些概念以及Wilber和Ko在预测函数方面引入的随机性的较弱概念,我们阐明了这些资源受限的随机性概念之间的关系。此外,我们在基于tz的卢兹(Lutz)的资源受限测度理论的框架内对这些概念进行了描述:我们表明t(n)随机性与基于所谓简单simple的t(n)随机性的弱概念相吻合。但是从Lutz的角度来看,它比t(n)-随机性严格弱。

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