IMT School for Advanced Studies Lucca, Italy.
CNRS/Panthéon-Sorbonne University, IHPST, France.
Stud Hist Philos Sci. 2024 Oct;107:33-42. doi: 10.1016/j.shpsa.2024.06.009. Epub 2024 Aug 10.
Neuroscientists routinely use reverse inference (RI) to draw conclusions about cognitive processes from neural activation data. However, despite its widespread use, the methodological status of RI is a matter of ongoing controversy, with some critics arguing that it should be rejected wholesale on the grounds that it instantiates a deductively invalid argument form. In response to these critiques, some have proposed to conceive of RI as a form of abduction or inference to the best explanation (IBE). We side with this response but at the same time argue that a defense of RI requires more than identifying it as a form of IBE. In this paper, we give an analysis of what determines the quality of an RI conceived as an IBE and on that basis argue that whether an RI is warranted needs to be decided on a case-by-case basis. Support for our argument will come from a detailed methodological discussion of RI in cognitive neuroscience in light of what the recent literature on IBE has identified as the main quality indicators for IBEs.
神经科学家通常使用逆向推理(RI)从神经激活数据中得出关于认知过程的结论。然而,尽管它被广泛使用,但 RI 的方法学地位仍然存在争议,一些批评者认为它应该被全盘拒绝,理由是它体现了一种演绎无效的论证形式。针对这些批评,一些人提出将 RI 视为一种溯因推理或最佳解释推理(IBE)。我们赞同这种回应,但同时认为,对 RI 的辩护不仅仅是将其识别为 IBE 的一种形式。在本文中,我们分析了决定作为 IBE 的 RI 质量的因素,并在此基础上认为,是否需要进行 RI 需要根据具体情况来决定。我们的论点将通过在认知神经科学中对 RI 进行详细的方法论讨论来得到支持,同时考虑到最近关于 IBE 的文献中确定的 IBE 的主要质量指标。