One of Glennan’s ([1996]) most prominent contributions to the new mechanist debate consists in his reductive analysis of higher-level causation in terms of mechanisms. In this article I employ causal Bayes nets (CBNs) to reconstruct his analysis. This allows for identifying general assumptions that have to be satisfied to get the analysis working. I show that once these assumptions are in place, they imply (against the background of the CBN machinery) that higher-level causation indeed reduces to interactions between component parts of mechanisms. I also briefly discuss the plausibility of these assumptions and some consequences for the mechanism debate.

中文翻译：

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格伦南对高级因果关系（和一些后果）的机械解释的因果贝叶斯网络分析

Glennan（[1996]）对新机制论辩论的最突出贡献之一在于他对机制方面的高级因果关系进行了简化分析。在本文中，我使用因果贝叶斯网络 (CBN) 来重建他的分析。这允许识别必须满足才能使分析工作的一般假设。我表明，一旦这些假设到位，它们意味着（在 CBN 机制的背景下）更高层次的因果关系确实减少了机制组成部分之间的相互作用。我还简要讨论了这些假设的合理性以及机制辩论的一些后果。