Recognizing Variable Environments: The Theory of Cognitive Prism

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Springer Science & Business Media, Oct 19, 2011 - Computers - 124 pages

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.

 

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Contents

Abstract
1
An Introduction
3
The State of the Art
11
Research Topics and Research Questions
27
A Commonsense Approach
33
A RegionBased Representation and Reasoning of Spatial Environments
55
The LIVE Model
79
Conclusions Evaluations Discussions and FutureWork
96
References
103
Relations between the Sizes of Regions
111
Theorem Proof Sketches
114
Index
123
Copyright

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