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Non-empirical robustness arguments in quantum gravity
Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics ( IF 1.663 ) Pub Date : 2020-08-20 , DOI: 10.1016/j.shpsb.2020.06.001
Niels S. Linnemann

In the first part of the article, I illustrate and assess instances of non-empirical robustness analysis as they occur within and across different theories of quantum gravity. The endeavour is expected to offer insights into the actual role robustness analysis plays in non-empirical theory development where motivation and theory development are not reactions to straightforward empirical problems.

In the second part, I aim at making mileage in providing a web of principles for quantum gravity research — a systematic ordering and assessment of principles for quantum gravity research in terms of a graph structure as originally proposed by Crowther and Linnemann (2017): To achieve this, I first draw on the results of the presented case studies to identify theory-overarching relations between principles which can feature in the web. I then assess the epistemic power of the thus obtained web and its prospects as an aid in the context of discovery more generally. This part is hoped to be helpful to the working physicist actually pursuing a theory of quantum gravity — by providing both an overview on how specific principles relate to one another and a methodology of how to reliably relate them in the first place. This is not to say that this aspect is not of interest to the philosopher — especially the (normative) task of providing a methodology raises relevant questions on how to distinguish between what's pursuit-worthy, and what's not.



中文翻译:

量子引力的非经验鲁棒性参数

在本文的第一部分,我将说明和评估非经验鲁棒性分析的实例,这些实例发生在不同的量子引力理论之内和之间。预期将为健壮性分析在非经验理论发展中的实际作用提供真知灼见,在非经验理论发展中,动机和理论发展不是对简单的经验问题的反应。

在第二部分中,我旨在为提供量子引力研究原理网做出努力-根据Crowther和Linnemann(2017)最初提出的图结构,对量子引力研究原理进行系统的排序和评估:为实现这一目标,我首先利用提出的案例研究的结果来确定可以在网络中体现的原理之间的理论至上的关系。然后,我将评估由此获得的网络的认知能力及其在更广泛的发现范围内的帮助前景。希望这一部分对实际追求量子引力理论的工作物理学家有所帮助-通过概述特定原理如何相互联系以及首先可靠地联系它们的方法。

更新日期:2020-08-20
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