Abstract
Four experiments are reported which attempt to determine how people make classifications when categories are defined by sets of exemplars and not by logical rules. One probability model and three distance models were tested. The predominant strategy, as revealed by successful models, was to abstract a prototype representing each category and to compare the distance of novel patterns to each prototype, emphasizing those features which best discriminated the two categories.