
Similarity and Categorization
Oxford University Press
Published on 5. April 2001
Book
Hardback
290 pages
978-0-19-850628-7 (ISBN)
Description
Understanding how objects are partitioned into useful groups to form concepts is important to most disciplines. Concepts allow us to treat different objects equivalently according to shared attributes, and hence to communicate about, draw inferences from, reason with, and explain these objects. Understanding how concepts are formed and used is thus essential to understanding and applying these basic processes, and the topic of similarity-based classification is central to psychology, artificial intelligence, statistics, and philosophy. Similarity and Categorisation provides a uniquely interdisciplinary overview of this area. The book brings together leading researchers, reflecting the key topics and important developments in the field. It will be of interest to researchers and graduate students within the areas of cognitive psychology, artificial intelligence, and philosophy.
More details
Language
English
Place of publication
Oxford
United Kingdom
Target group
Professional and scholarly
Illustrations
1 colour plate, numerous halftones and line illustrations
Dimensions
Height: 248 mm
Width: 174 mm
Thickness: 21 mm
Weight
719 gr
ISBN-13
978-0-19-850628-7 (9780198506287)
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
Persons
Editor
School of PsychologySchool of Psychology, University of Wales, Cardiff
Department of Artificial IntelligenceDepartment of Artificial Intelligence, University of Edinburgh
Content
Introduction: similarity and categorization ; The role of similarity in natural categorization ; Induction and inherent similarity ; Categorization by simplicity: a minimum description length approach to unsupervised clustering ; Categorization versus similarity: the case of container names ; Dissociation between categorization and similarity judgement: differential effect of causal status on feature weights ; Structural alignment, similarity, and the internal structure of category representations ; Issues in case-based reasoning ; Background knowledge and models of categorization ; Dynamic similarity: a processing perspective on similarity ; The time course of perceptual categorization ; Interactions between taxonomic knowledge, categorization, and perception ; Conclusion: mere similarity?