连贯与还原

Andrea Giuseppe Ragno
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引用次数: 1

摘要

共时理论间约简是科学研究的一个重要领域。可以说,能够代表这种科学还原中发生的主要关系的最佳模型是Nagelian的还原描述,该模型由Schaffner进一步发展,现在被称为Nagel-Schaffner模型(GNS)的广义版本。Dizadji-Bahmani, Frigg和Hartmann (DFH)在他们的文章(2010)中指出了还原广义神经网络的两个主要需求:确认和一致性。DFH首先,更严格地说,Tešic(2017)随后根据贝叶斯确认理论分析了还原和被还原理论之间的确认关系。本文的目的是分析和比较两种理论在GNS缩减前后的一致性程度。出于这个原因,在第一部分中,我将着眼于将热力学简化为统计力学,并将其作为描述GNS的例子。在第二部分,我将介绍三个连贯性措施,然后将在比较中使用。最后,在最后两节中,我将比较约简理论和约简理论在约简前后的一致性程度,并使用几个数值例子来理解一致性与确认措施之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coherence and Reduction
Abstract Synchronic intertheoretic reductions are an important field of research in science. Arguably, the best model able to represent the main relations occurring in this kind of scientific reduction is the Nagelian account of reduction, a model further developed by Schaffner and nowadays known as the generalized version of the Nagel–Schaffner model (GNS). In their article (2010), Dizadji-Bahmani, Frigg, and Hartmann (DFH) specified the two main desiderata of a reduction á la GNS: confirmation and coherence. DFH first and, more rigorously, Tešic (2017) later analyse the confirmatory relation between the reducing and the reduced theory in terms of Bayesian confirmation theory. The purpose of this article is to analyse and compare the degree of coherence between the two theories involved in the GNS before and after the reduction. For this reason, in the first section, I will be looking at the reduction of thermodynamics to statistical mechanics and use it as an example to describe the GNS. In the second section, I will introduce three coherence measures which will then be employed in the comparison. Finally, in the last two sections, I will compare the degrees of coherence between the reducing and the reduced theory before and after the reduction and use a few numerical examples to understand the relation between coherence and confirmation measures.
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