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.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Philosophie, Wissenschaftstheorie und Religionswissenschaft > Munich Center for Mathematical Philosophy (MCMP) |
ISSN: | 0022-3611 |
Sprache: | Englisch |
Dokumenten ID: | 65981 |
Datum der Veröffentlichung auf Open Access LMU: | 19. Jul. 2019, 12:18 |
Letzte Änderungen: | 04. Nov. 2020, 13:46 |