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 |
|---|---|
| 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 |
