Artículo
A Defense of Temperate Epistemic Transparency
Fecha de publicación:
12/2012
Editorial:
Springer
Revista:
Journal of Philosophical Logic
ISSN:
0022-3611
e-ISSN:
1573-0433
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Epistemic transparency tells us that, if an agent S knows a given proposition p, then S knows that she knows that p. This idea is usually encoded in the so-called KK principle of epistemic logic. The paper develops an argument in favor of a moderate version of KK, which I dub quasi-transparency, as a normative rather than a descriptive principle. In the second Section I put forward the suggestion that epistemic transparency is not a demand of ideal rationality, but of ideal epistemic responsibility, and hence that ideally responsible agents verify transparency principles of some sort; I also contend that their satisfaction should not be tied to an internalist epistemology. The central argument in favor of transparency is then addressed in Sections 3 to 8, through the development of a formal system. I show that, in a well-behaved formal setting, a moderate version of transparency is imposed upon us as a result of a number of independent decisions on the structure of higher-order probabilities, as long as we request that our probability and knowledge attributions cohere with each other. Thus I give a rationale to build a model for a hierarchy of languages with different levels of knowledge and probability operators; we obtain an analogous to KK for successive knowledge operators without actually demanding transitivity. The formal argument reinforces the philosophical intuition that epistemic transparency is an important desideratum we should not be too ready to dismiss.
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Articulos de SEDE CENTRAL
Citación
Cresto, Eleonora Beatriz; A Defense of Temperate Epistemic Transparency; Springer; Journal of Philosophical Logic; 41; 6; 12-2012; 923-955
Compartir
Altmétricas