A theoretical framework for perceptual representation is presented which proposes that
information is coded in hierarchical networks of nonverbal propositions. The hierarchical
structure of the representations implies selective organization: Some subsets of a figure will
be encoded as integral, structural units of that figure, while others will not. A context-
sensitive metric for the “goodness” of a part within a figure is developed, corresponding to
the probability that the subset will be encoded as a structural unit. Converging evidence …