A counterfactual analysis of causation

被引:35
|
作者
Ramachandran, M
机构
[1] School of Cognitive and Computing Sciences, University of Sussex, Falmer
关键词
D O I
10.1093/mind/106.422.263
中图分类号
B [哲学、宗教];
学科分类号
01 ; 0101 ;
摘要
On David Lewis's original analysis of causation, c causes e only if c is linked to e by a chain of distinct events such that each event in the chain (counter-factually) depends on the former one. But this requirement precludes the possibility of late pre-emptive causation, of causation by fragile events, and of indeterministic causation. Lewis proposes three different strategies for accommodating these three kinds of cases, but none of these turn out to be satisfactory. I offer a single analysis of causation that resolves these problems in one go but which respects Lewis's initial insights. One distinctive feature of my account is that it accommodates indeterministic causation without resorting to probabilities.
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页码:263 / 277
页数:15
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