ABSTRACT
A central drawback of extant psychological theories of similarity is that they are typically defined over very limited classes of representations such as points in a multidimensional space or feature-sets. Our new account, representational distortion, can deal with arbitrary representations. Here, similarity between two representations is defined by the amount of distortion required to transform one representation into another.
