
Knowledge, Concepts And Categories
Psychology Press Ltd
Published on 13. October 1997
Book
Hardback
478 pages
978-0-86377-491-1 (ISBN)
Description
This text 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, including developmental psychology, formal modelling, neuropsychology and connectionism.
More details
Series
Language
English
Place of publication
Hove
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Academic and Postgraduate
Dimensions
Height: 234 mm
Width: 156 mm
Weight
453 gr
ISBN-13
978-0-86377-491-1 (9780863774911)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Koen Lamberts | David Shanks
Knowledge, Concepts And Categories
E-Book
11/2024
1st Edition
Psychology Press Ltd
€73.99
Available for download

Koen Lamberts | David Shanks
Knowledge, Concepts And Categories
E-Book
11/2024
1st Edition
Psychology Press Ltd
€73.99
Available for download
Persons
Koen Lamberts, David Shanks
Content
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.