ABSTRACT: Accounting for human category learning requires at least six principles: short-term memory, strategic guessing, rapid shifts of attention to features, appropriate base-rate bias, representation of fragments of exemplars, and error-driven learning. We provide empirical evidence for each, and also formalize the principles in models that provide good fits to the data.