A Probabilistic Truth-Conditional Semantics for Indicative Conditionals

Semiotic Studies 35 (2):69-87 (2022)
  Copy   BIBTEX

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.

Author's Profile

Michał Sikorski
Marche Polytechnic University

Analytics

Added to PP
2022-06-08

Downloads
346 (#63,361)

6 months
125 (#38,568)

Historical graph of downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.
How can I increase my downloads?