
Classification and Cognition
W. K. Estes(Author)
Oxford University Press Inc
Published on 10. March 1994
Book
Hardback
296 pages
978-0-19-507335-5 (ISBN)
Description
Based on the well-known Fitts Lectures, this volume presents a core set of concepts and principles that propose a unified interpretation of memory categorization, and decision making.
Reviews / Votes
...astoundingly wide sphere of application. * Science *More details
Series
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Illustrations
line figures, tables
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 22 mm
Weight
634 gr
ISBN-13
978-0-19-507335-5 (9780195073355)
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

W. K. Estes
Classification and Cognition
Book
01/1997
Oxford University Press Inc
€76.40
Shipment within 15-20 days

William K. Estes
Classification and Cognition
E-Book
01/1994
1st Edition
OUP eBook
€31.49
Available for download
Person
Author
Professor, Department of PsychologyProfessor, Department of Psychology, Harvard University
Content
1: Introduction and Basic Concepts
1.1: Classification and Cognition: An Overview
1.2: The Array Model Framework
2: Category Structures and Categorization
2.1: Similarity in Theories of Classification
2.2: Predicting Categorization Performance
3: Models for Category Learning
3.1: The Exemplar-Similarity Model
3.2: Network-based Learning Models
4: Categorization and Memory Processing
5: On the Storage and Retrieval of Categorical Information
6: Extensions and Applications of the Exemplar-Similarity Model
7: Categorization and Recognition
8: Categorization and Cognition: Reprise
1.1: Classification and Cognition: An Overview
1.2: The Array Model Framework
2: Category Structures and Categorization
2.1: Similarity in Theories of Classification
2.2: Predicting Categorization Performance
3: Models for Category Learning
3.1: The Exemplar-Similarity Model
3.2: Network-based Learning Models
4: Categorization and Memory Processing
5: On the Storage and Retrieval of Categorical Information
6: Extensions and Applications of the Exemplar-Similarity Model
7: Categorization and Recognition
8: Categorization and Cognition: Reprise