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Title
Abstract
Introduction
Machine Learning Methods
Reinforcement Learning Method
Evolution of New CDS Designed for Ngnle
Methods in Practical Implementation
Conclusions
References
All Topics
Chemistry
Analytical Chemistry

Natural Intelligence as the Brain of Intelligent Systems

Profile image of Mahdi NaghshvarianJahromiMahdi NaghshvarianJahromi

Sensors

https://doi.org/10.3390/S23052859
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29 pages

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Abstract

This article discusses the concept and applications of cognitive dynamic systems (CDS), which are a type of intelligent system inspired by the brain. There are two branches of CDS, one for linear and Gaussian environments (LGEs), such as cognitive radio and cognitive radar, and another one for non-Gaussian and nonlinear environments (NGNLEs), such as cyber processing in smart systems. Both branches use the same principle, called the perception action cycle (PAC), to make decisions. The focus of this review is on the applications of CDS, including cognitive radios, cognitive radar, cognitive control, cyber security, self-driving cars, and smart grids for LGEs. For NGNLEs, the article reviews the use of CDS in smart e-healthcare applications and software-defined optical communication systems (SDOCS), such as smart fiber optic links. The results of implementing CDS in these systems are very promising, with improved accuracy, performance, and lower computational costs. For example, CDS ...

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