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Oct 1997
ISBN 0262621185
450 pp.
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Knowledge, Concepts, and Categories
Koen Lamberts and David Shanks

The study of mental representation is a central concern in contemporary cognitive psychology. Knowledge, Concepts, and Categories is unusual in that it presents key conclusions from across the different subfields of cognitive psychology. Readers will find data from many areas, including developmental psychology, formal modeling, neuropsychology, connectionism, and philosophy. The difficulty of penetrating the fundamental operations of the mind is reflected in a number of ongoing debates discussed--for example, do distinct brain systems underlie the acquisition and storage of implicit and explicit knowledge, or can the evidence be accommodated by a single-system account of knowledge representation?

The book can be divided into three distinct parts. Chapters 1 through 5 offer an introduction to the field; each presents a systematic review of a significant aspect of research on concepts and categories. Chapters 6 through 9 are concerned primarily with issues related to the taxonomy of human knowledge. Finally, Chapters 10 through 12 discuss formal models of categorization and function learning.

Table of Contents
 Contributors
 Series Preface
 Introduction
by Koen Lamberts and David Shanks
1 Knowledge and Concept Learning
by Evan Heit
2 Concepts and Similarity
by Ulrike Hahn and Nick Chater
3 Hierarchical Structure in Concepts and the Basic Level of Categorization
by Gregory L. Murphy and Mary E. Lassaline
4 Conceptual Combination
by James Hampton
5 Perceiving and Remembering: Category Stability, Variability and Development
by Linda B. Smith and Larissa K. Samuelson
6 Distributed Representations and Implicit Knowledge: A Brief Introduction
by David R. Shanks
7 Declarative and Nondeclarative Knowledge: Insights from Cognitive Neuroscience
by Barbara Knowlton
8 Implicit Learning and Unconscious Knowledge: Mental Representation, Computational Mechanisms, and Brain Structures
by Thomas Goschke
9 The Representation of General and Particular Knowledge
by Bruce W. A. Whittlesea
10 Process Models of Categorization
by Koen Lamberts
11 Learning Functional Relations Based on Experience with Input-Output Pairs by Humans and Artificial Neural Networks
by Jerome R. Busemeyer, Eunhee Byun, Edward L. Delosh and Mark A. McDaniel
12 Formal Models for Intra-Categorical Structure that Can Be Used for Data Analysis
by Gert Storms and Paul De Broeck
 Index
 
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Philosophy
Psychology, Cognitive Science


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