Table of Contents

Knowledge and concept learning, E. Heit; concepts and similarity, U. Hahn and N. Chater; hierarchical structure in concepts and the basic level of categorization, G.L. Murphy and M. Lassaline; conceptual combination, J. Hampton; perceiving and remembering - category stability, variability and development, L. Smith and L.K. Samuelson; distributed representations and implicit knowledge - a brief introduction, D.R. Shanks; declarative and nondeclarative knowledge - insights from cognitive neuroscience, B. Knowlton; implicit learning and unconscious knowledge - mental representation, computational mechanisms and brain structures, T. Goschke; the representation of general and particular knowledge, W.A. Whittlesea; process models of categorization, K. Lamberts; learning functional relations based on experience with input-output pairs by humans and artificial neural networks, J.R. Busemeyer et al; formal methods for intracategorial structure that can be used for data analysis.