A Probabilistic Truth-Conditional Semantics for Indicative Conditionals

Semiotic Studies 35 (2):69-87 (2022)
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Abstract

In my article, I present a new version of a probabilistic truth prescribing semantics for natural language indicative conditionals. The proposed truth conditions can be paraphrased as follows: an indicative conditional is true if the corresponding conditional probability is high and the antecedent is positively probabilistically relevant for the consequent or the probability of the antecedent of the conditional equals 0. In the paper, the truth conditions are defended and some of the logical properties of the proposed semantics are described.

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Michał Sikorski
Warsaw University of Technology

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