Trivalent Conditionals: Stalnaker's Thesis and Bayesian Inference


This paper develops a trivalent semantics for indicative conditionals and extends it to a probabilistic theory of valid inference and inductive learning with conditionals. On this account, (i) all complex conditionals can be rephrased as simple conditionals, connecting our account to Adams's theory of p-valid inference; (ii) we obtain Stalnaker's Thesis as a theorem while avoiding the well-known triviality results; (iii) we generalize Bayesian conditionalization to an updating principle for conditional sentences. The final result is a unified semantic and probabilistic theory of conditionals with attractive results and predictions.



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Author Profiles

Paul Egré
École Normale Supérieure
Jan Sprenger
University of Turin
Lorenzo Rossi
Università di Torino

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References found in this work

Bayesian Philosophy of Science.Jan Sprenger & Stephan Hartmann - 2019 - Oxford and New York: Oxford University Press.
On conditionals.Dorothy Edgington - 1995 - Mind 104 (414):235-329.
General Propositions and Causality.Frank Plumpton Ramsey - 1929 - In The Foundations of Mathematics and other Logical Essays. Kegan Paul, Trench, Trübner. pp. 237-255.

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