Recognizing variable environments : the theory of cognitive prism / Tiansi Dong.

"Normal adults do not have any difficulty in recognizing their homes. But can artificial systems do in the same way as humans? This book collects interdisciplinary evidences and presents an answer from the perspective of computing, namely, the theory of cognitive prism. To recognize an environm...

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Bibliographic Details
Main Author: Dong, Tiansi (Author)
Format: Ebook
Language:English
Published: Berlin : Springer-Verlag Berlin Heidelberg, [2012]
Series:Studies in computational intelligence ; v. 388.
Subjects:
Online Access:Springer eBooks
Description
Summary:"Normal adults do not have any difficulty in recognizing their homes. But can artificial systems do in the same way as humans? This book collects interdisciplinary evidences and presents an answer from the perspective of computing, namely, the theory of cognitive prism. To recognize an environment, an intelligent system only needs to classify objects, structures them based on the connection relation (not through measuring!), subjectively orders the objects, and compares with the target environment, whose knowledge is similarly structured. The intelligent system works, therefore, like a prism: when a beam of light (a scene) reaches (is perceived) to an optical prism (by an intelligent system), some light (objects) is reflected (are neglected), those passed through (the recognized objects) are distorted (are ordered differently). So comes the term 'cognitive prism'! Two fundamental propositions used in the theory can be informally stated as follow: an orientation relation is a kind of distance comparison relation -- you being in front of me means you being nearer to my face than to my other sides; a pair of objects being connected means any object, precisely the space occupied by the object, can be moved to a place where it connects with the pair."--Publisher's website.
Physical Description:1 online resource (xvii, 124 pages) : illustrations (some colour).
Bibliography:Includes bibliographical references and index.
ISBN:3642240577
9783642240577
3642240585
9783642240584
ISSN:1860-949X ;
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