Percepts, Concepts and Categories :The Representation and Processing of Information ( Volume 93 )

Publication subTitle :The Representation and Processing of Information

Publication series :Volume 93

Author: Burns   B.  

Publisher: Elsevier Science‎

Publication year: 1992

E-ISBN: 9780080867472

P-ISBN(Paperback): 9780444887344

P-ISBN(Hardback):  9780444887344

Subject: B842.2 感觉与知觉

Language: ENG

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Description

The most important distinction derived from the computational view of thought is between structures and processes. So proclaimed Farah and Kosslyn in 1982, arguing that structures and processes cannot be examined in isolation and concluding that converging operations are required to isolate the structure-process pair that can explain a particular finding.

The distinction between structure and process within the study of percepts, concepts and categories is considered in depth in this volume, with penetrating commentaries by fellow authors concluding each chapter.

This interesting format achieves a broad coverage of the various aspects and implications of the structure-process distinction. It affords a salient indication of the diversity of positions as to the description and utility of distinguishing structures and processors. At the same time, it reveals that researchers specializing in areas of study ranging from simple structure and process involved in perceptual organization and texture to complex structure and process associated with reading graphs and chess expertise, do utilize such a distinction in similar ways.

The analysis is organized into four major parts within the book: Early Visual Representation and Processing; Percepts, Concepts, Categories and Development; Categories, Concepts and Learning; and Higher-Order Representation and Processing.

Chapter

Front Cover

pp.:  1 – 4

Copyright Page

pp.:  5 – 6

Table of Contents

pp.:  6 – 15

Contributors

pp.:  15 – 18

Preface

pp.:  18 – 21

Part B: Percepts, Concepts, Categories and Development

pp.:  166 – 344

Part C: Categories, Concepts, and Learning

pp.:  344 – 550

Part D: Higher-Order Representation and Processing

pp.:  550 – 698

Author and Subject Indexes

pp.:  698 – 716

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