A Ramsey Test Analysis of Causation for Causal Models
Artist: Ari Weinkle
A Ramsey Test Analysis of Causation for Causal Models
Günther, M & Andreas, H 2021, ‘A Ramsey Test Analysis of Causation for Causal Models’, British Journal for the Philosophy of Science, vol. 72, no. 2.
We propose a Ramsey Test analysis of actual causation in the framework of causal models. The basic idea is to define a Ramsey Test conditional for causal models. The evaluation recipe of this novel Ramsey Test conditional > can be informally stated as follows: First, suspend judgment about the antecedent and the consequent. Second, add the antecedent (hypothetically) to your stock of beliefs. Finally, consider whether or not the consequent is entailed by your beliefs. In brief, the conditional A > C should be believed iff, after suspending judgment on A and C, C is believed as a result of assuming A. The conditional gives rise to an analysis of causation via the following template:C is a cause of E iff C and E occur, and C > E.
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