Overview

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.

Full Product Details

Author:   Ulrike Hahn (School of Psychology, School of Psychology, University of Wales, Cardiff) ,  Michael Ramscar (Department of Artificial Intelligence, Department of Artificial Intelligence, University of Edinburgh)
Publisher:   Oxford University Press
Imprint:   Oxford University Press
Dimensions:   Width: 17.40cm , Height: 2.10cm , Length: 24.80cm
Weight:   0.719kg
ISBN:  

9780198506287

ISBN 10:   0198506287
Pages:   290
Publication Date:   05 April 2001
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   To order  
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Table of Contents

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?

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