Overview
- Introduction of a new computational theory for Recognizing Variable Environments
- Description of the Theory of Cognitive Prism
- Written by a leading expert in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 388)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Recognizing Variable Environments
Book Subtitle: The Theory of Cognitive Prism
Authors: Tiansi Dong
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-24058-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag GmbH Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-24057-7Published: 19 October 2011
Softcover ISBN: 978-3-642-27121-2Published: 30 November 2013
eBook ISBN: 978-3-642-24058-4Published: 25 October 2011
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XX, 124
Topics: Computational Intelligence, Artificial Intelligence, Logic