Essay Analysis | Using Information Theory to Observe Natural Intelligence and Artificial Intelligence

Introduction: Research on natural intelligence (NI) and artificial intelligence (AI) is generally based on NI systems and AI systems (computers) as black boxes. Then observe the inputs and outputs and build models such as neural networks, in-depth learning and more. Research on natural intelligence and artificial intelligence has a long history. Research methods can be roughly divided into three categories: computer simulation (AI), learning human intelligence through psychology, and biological neural network research. People's views on neuro-intelligence are also varied. This article tries to put aside these viewpoints to analyze basic concepts in depth and provides a new perspective for research to promote natural intelligence and artificial intelligence to a higher level.

Using Information Theory to Observe Natural Intelligence and Artificial Intelligence (Using Information Theory to Observe Natural Intelligence and Artificial Intelligence)

Abstract: This paper uses a philosophical perspective as the axiom, revealing the relationship between information theory and natural intelligence and artificial intelligence under real-world conditions. It also derives the relationship between natural intelligence and nature. According to information theory communication theory, natural intelligence can be divided into real part and imaginary part. Based on the theory of information that does not increase in information, we have studied the restraining mechanism of natural intellectual creativity. The constraints of creativity reveal the limits of natural intelligence and artificial intelligence. This article provides a new perspective for the study of natural intelligence and artificial intelligence.

Keywords: natural intelligence, artificial intelligence, creativity, information theory.

First author introduction

Lipeng Zhang

Position: Doctor of Electronic Information Engineering, Hong Kong Applied Science and Technology Research Institute

Research direction: digital automation, automatic speech recognition, artificial intelligence, speech information processing.

Dissertation:

· An on-line adaptive neural network for speech recognition

· Speech recognition using dynamic recognition neural network

Via:ICAINN 2016

PS : This article was compiled by Lei Feng Network (search "Lei Feng Network" public number) and it was compiled without permission.

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