Learning Conditional Information by Jeffrey Imaging on Stalnaker Conditionals

Günther, Mario (2018): Learning Conditional Information by Jeffrey Imaging on Stalnaker Conditionals. In: Journal of Philosophical Logic, Vol. 47, No. 5: pp. 851-876

Abstract

We propose a method of learning indicative conditional information. An agent learns conditional information by Jeffrey imaging on the minimally informative proposition expressed by a Stalnaker conditional. We show that the predictions of the proposed method align with the intuitions in Douven (Mind & Language, 27(3), 239-263 2012)'s benchmark examples. Jeffrey imaging on Stalnaker conditionals can also capture the learning of uncertain conditional information, which we illustrate by generating predictions for the Judy Benjamin Problem.

• Item Type: Journal article
• Faculties: Philosophy, Philosophy of Science and Religious Science > Munich Center for Mathematical Philosophy (MCMP)
• ISSN: 0022-3611
• Language: English