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Imaging Technology and the Philosophy of Causality

机译:成像技术与因果关系哲学

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Russo and Williamson (Int Stud Philos Sci 21(2):157-170, 2007) put forward the thesis that, at least in the health sciences, to establish the claim that C is a cause of E, one normally needs evidence of an underlying mechanism linking C and E as well as evidence that C makes a difference to E. This epistemological thesis poses a problem for most current analyses of causality which, in virtue of analysing causality in terms of just one of mechanisms or difference making, cannot account for the need for the other kind of evidence. Weber (Int Stud Philos Sci 23(2):277-295,2009) has suggested to the contrary that Giere's probabilistic analysis of causality survives this criticism. In this paper, we look in detail at the case of medical imaging technology, which, we argue, supports the thesis of Russo and Williamson, and we respond to Weber's suggestion, arguing that Giere's account does not survive the criticism.
机译:Russo和Williamson(Int Stud Philos Sci 21(2):157-170,2007)提出了这样一个论点,即至少在健康科学中,要确立C是E的原因的主张,通常需要一个C的证据。认识到C和E之间存在联系的潜在机制,以及C对E产生影响的证据。这一认识论论题为当前大多数因果关系分析提出了一个问题,由于仅根据一种机制或造成差异的原因来分析因果关系,因此无法解释这一问题。需要其他证据。 Weber(Int Stud Philos Sci 23(2):277-295,2009)提出相反的建议,即Giere对因果关系的概率分析在这种批评中得以幸存。在本文中,我们详细研究了医学成像技术的情况,我们认为这支持了Russo和Williamson的观点,并且我们对Weber的建议做出了回应,认为Giere的论述无法幸免于批评。

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