Robustness analysis faces a confirmatory dilemma. Since all of the models in a robust set are idealized, and therefore false, the set provides no confirmation. However, if a model is de-idealized, there is no confirmatory role for robustness analysis. Against this dilemma, I draw an analogy between ...
Scientific Models / ModelingContributed Papers