Koen Lamberts

Knowledge Concepts and Categories

Herausgeber: Lamberts, Koen; Shanks, David

• Broschiertes Buch

Produktbeschreibung

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.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Psychology Press
• Seitenzahl: 480
• Erscheinungstermin: 27. August 1998
• Englisch
• Abmessung: 234mm x 156mm x 26mm
• Gewicht: 723g
• ISBN-13: 9780863774928
• ISBN-10: 086377492X
• Artikelnr.: 28525214

Autorenporträt

David Shanks, Koen Lamberts, Koen Lamberts

Inhaltsangabe

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.