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The Consistency of Probabilistic Regresses. A Reply to Jeanne Peijnenburg and David Atkinson

机译:概率回归的一致性。对Jeanne Peijnenburg和David Atkinson的回复

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In a recent paper, Jeanne Peijnenburg and David Atkinson [Studia Logica, 89(3):333-341 (2008)] have challenged the foundationalist rejection of infinitism by giving an example of an infinite, yet explicitly solvable regress of probabilistic justification. So far, however, there has been no criterion for the consistency of infinite probabilistic regresses, and in particular, foundationalists might still question the consistency of the solvable regress proposed by Peijnenburg and Atkinson. In this paper, we employ Robinsonian nonstandard analysis to prove that a probabilistic regress is already consistent if it is admissible in the sense that its forward-iteration solution does not lead to obvious contradictions; naturally, the converse also holds true. As a consequence, it turns out that there is a rich class of probabilistic regresses, which generically will fail to be solvable. We therefore propose a weaker version of the Probabilistic Regress Problem which concedes the existence of solvable regresses, but denies their genericity.
机译:在最近的一篇论文中,Jeanne Peijnenburg和David Atkinson [Studia Logica,89(3):333-341(2008)]通过举例说明概率论证的无限但可解决的回归,对基础主义对无限式的拒绝提出了挑战。但是,到目前为止,还没有关于无限概率回归的一致性的标准,特别是,基础主义者仍然可能质疑Peijnenburg和Atkinson提出的可解决回归的一致性。在本文中,我们使用Robinsonian非标准分析来证明概率回归在可以被接受的前提下已经是一致的,因为它的前向迭代解决方案不会导致明显的矛盾。当然,相反也适用。结果,事实证明存在大量的概率回归,一般而言,它们无法解决。因此,我们提出了概率回归问题的较弱版本,它承认可解决的回归的存在,但否认它们的通用性。

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