Knowledge, Concepts and Categories brings together an overview of recent research on concepts and knowledge that abstracts across a variety of specific fields of cognitive psychology. Readers will find data from many different areas: developmental psychology, formal modelling, neuropsychology, connectionism, philosophy, and so on. The book can be divided into three parts. Chapters 1 to 5 each contain a thorough and systematic review of a significant aspect of research on concepts and categories. Chapters 6 to 9 are concerned primarily with issues related to the taxonomy of human knowledge. Finally, Chapters 10 to 12 discuss formal models of categorization and function learning. The purpose of these three chapters is to provide a few examples of current formal modelling of conceptual behaviour. Knowledge, Concepts and Categories will be welcomed by students and researchers in cognitive psychology and related areas as an unusually wide-ranging and authoritative review of an important subfield of psychology.
Table of Contents
K. Lamberts, D. Shanks, Introduction. E. Heit, Knowledge and Concept Learning. U. Hahn, N. Chater, Concepts and Similarity. G.L. Murphy, M. E. Lassaline, Hierarchical Structure in Concepts and the Basic Level of Categorization. J. Hampton, Conceptual Combination. L.B. Smith, L.K. Samuelson, Perceiving and Remembering: Category Stability, Variability and Development. D.R. Shanks, Distributed Representations and Implicit Knowledge: A Brief Introduction. B. Knowlton, Declarative and Nondeclarative Knowledge: Insights From Cognitive Neuroscience. T. Goschke, Implicit Learning and Unconscious Knowledge: Mental Representation, Computational Mechanisms, and Brain Structures. B.W.A. Whittlesea, The Representation of General and Particular Knowledge. K. Lamberts, Process Models of Categorization. J.R. Busemeyer, E. Byun, E.L. Delosh, M.A. McDaniel, Learning Functional Relations Based on Experience With Input-Output Pairs by Humans and Artificial Neural Networks. G. Storms, P. De Boeck, Formal Methods for Intra-categorical Structure That Can be Used for Data Analysis.
'The book addresses the purported audience of undergraduate and postgraduate students alike with its inviting style, extensive reviews, and theoretical and methodological clarifications. Should I buy it then? I warmly recommend this book to anyone interested n cognitive science. It is a well written book from leading researchers in the field. In a cubism-like fashion it provides extensive reviews from diverse fields such as psychology, neuropsychology, philosophy, and artificial intelligence. It discusses and critically evaluates conceptual and methodological issues of cognitive science, and elucidates points of controversy. Further, it highlights themes in need of further investigation together with strategies for how to empirically test these - food for thought for current and want-to-be researchers alike.' - Constantionos Hadjichristidis (University of Durham) in Perception