Epistemic Contributions of Models: Conditions for Propositional Learning | Citedby Results | Perspectives on Science | MIT Press

Skip to Main Content

Skip Nav Destination

Epistemic Contributions of Models: Conditions for Propositional Learning

Perspectives on Science (2015) 23 (4): 405–423.

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

Contextualist model evaluation: models in financial economics and index funds

Melissa Vergara-Fernández
Conrad Heilmann
Marta Szymanowska

European Journal for Philosophy of Science (2023) 13 (1)

Multidisciplinary Research as a Complex System

Amaris Dalton
Karin Wolff
Bernard Bekker

International Journal of Qualitative Methods (2021) 20

PROPOSITIONAL LEARNING: FROM IGNORANCE TO KNOWLEDGE

Pierre Le Morvan

Episteme (2020) 17 (2): 162.

How could models possibly provide how-possibly explanations?

Philippe Verreault-Julien

Studies in History and Philosophy of Science Part A (2019) 73: 22.

Generic Generalizations in Science

François Claveau
Jordan Girard

Erkenntnis (2019) 84 (4): 839.

Non-causal understanding with economic models: the case of general equilibrium

Philippe Verreault-Julien

Journal of Economic Methodology (2017) 24 (3): 297.