Similarity and Categorization

Hardcover | March 1, 2001

EditorUlrike Hahn, Michael Ramscar

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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 theseobjects. 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 auniquely 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, andphilosophy.

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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 theseobjects. Understanding how concepts are formed and ...

Ulrike Hahn is at University of Wales, Cardiff. Michael Ramscar is at University of Edinburgh.

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Kobo ebook|Mar 9 2013

$224.19 online$291.11list price(save 22%)
Format:HardcoverDimensions:290 pages, 9.45 × 6.61 × 0.83 inPublished:March 1, 2001Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0198506287

ISBN - 13:9780198506287

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Table of Contents

Introduction: similarity and categorizationThe role of similarity in natural categorizationInduction and inherent similarityCategorization by simplicity: a minimum description length approach to unsupervised clusteringCategorization versus similarity: the case of container namesDissociation between categorization and similarity judgement: differential effect of causal status on feature weightsStructural alignment, similarity, and the internal structure of category representationsIssues in case-based reasoningBackground knowledge and models of categorizationDynamic similarity: a processing perspective on similarityThe time course of perceptual categorizationInteractions between taxonomic knowledge, categorization, and perceptionConclusion: mere similarity?