Percepts, Concepts and Categories (e-bog) af -
Burns, B. (redaktør)

Percepts, Concepts and Categories e-bog

473,39 DKK (inkl. moms 591,74 DKK)
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...
E-bog 473,39 DKK
Forfattere Burns, B. (redaktør)
Forlag North Holland
Udgivet 9 oktober 1992
Længde 692 sider
Genrer Experimental psychology
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9780080867472
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.