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Computational Intelligence: Natural Information Processing

Perlovsky, Leonid  
Sponsored by: IEEE Computational Intelligence Society
Presented at: Congress on Evolutionary Computation
Publication Date: Jul-2005
ISBN: 0-7803-9662-6
Run Time: 1:00:00

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Abstract
This course covers the rapidly evolving field of Computational Intelligence and focuses on the current understanding of the fundamental principles of working the mind, their computational implementations, and practical applications. This tutorial covers mind mechanisms, including concepts, emotions, instincts, behavior, language, cognition, understanding, thinking, intuitions, conscious and unconscious, abilities for formation of symbols and aesthetic feelings. Computational techniques are given for these mechanisms and abilities. The goal of this tutorial is to provide a basic mathematical understanding of the working of the mind. Its secondary goal is to demonstrate practical applications of these mechanisms for pattern recognition, tracking, fusion, search engines, and for integrated systems combining sensor signals and communication data. Lastly, this tutorial will outline future research directions. Historical and current difficulties in developing intelligent systems (IS) and applications will be discussed along with how the mind and new computational techniques overcome these difficulties.

Educational Course Subject Areas
Artificial Intelligence

Keywords
aesthetic emotion applications beauty behavior cognition combinatorial complexity concepts concept-models conscious dynamic logic emotions hierarchy instincts instinct for knowledge instinct for language integrated language and cognition l


 
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