Counterfactuals: truth, probability and acceptance conditions

This paper aims at an integrated account of truth, probability and acceptance conditions of counterfactuals. The basic idea is that truth conditions are an abstract semantic device: they are not directly tested against semantic judgments, but determine the probability of a sentence, and via probabilistic acceptance conditions, they generate predictions of semantic judgments. The proposed account has two notable features: first, the probability of counterfactuals can be understood in a purely subjective sense, without reference to objective chance, and second, Lewis-style truth conditions for counterfactuals that quantify over multiple scenarios can be interpreted as describing their acceptance conditions.