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論文資訊
- 類型：已發表論文
- 日期：2020-11-23
摘要
Proponents of various causal exclusion arguments claim that for any given event, there is often a unique level of granularity at which that event is caused. Against these causal exclusion arguments, causal ecumenists argue that the same event or phenomenon can be caused at multiple levels of granularity. This paper argues that the 貝氏 網絡 approach to representing the causal structure of target systems is consistent with causal ecumenism. Given the ubiquity of 貝氏 網絡s as a tool for representing causal structure in both philosophy of science and science itself, this result speaks in favor of the ecumenical view, and against rival exclusionary accounts. Gebharter’s (Philos Phenomenol Res 95(2):353–375, 2017) argument that the Bayes nets formalism is consistent with causal exclusion is considered
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