Abstract
The interpretation of entropy and negative entropy theories on the nature of information is the first scientific paradigm on the interpretation of the nature of information at the beginning of the rise of contemporary information science. The information entropy or negative entropy theories are the relative measurement for the structuralization degree of the system at a specific level, which have certain characteristics of relativity, functionality, and quantification. Although the concepts of entropy, negative entropy, information, entropy increase, and entropy decrease often have very different specific meanings in different disciplines and for different scientists, the meanings of these concepts are unified in essence and the differences between them are generated when the same kind of concepts is applied to the study of different directions of the same kind of phenomena: either to the static structuralization degree of the system or to the change of the dynamic structuralization degree of the system. Since entropy and negative entropy theories only measure the relationship of structural differences at a specific level of the system from a formal aspect, they are not aimed at the information itself but rather they are aimed at only the structuralization characteristics of the information carrier itself at a specific level. Because of this, it is impossible to deduce the general nature of information directly from such theories.
Highlights
Starting from the works of Claude Elwood Shannon ([1]) and Wiener [2] in the middle of the 20th century, the question of what the information is has always been a major theoretical issue concerned by philosophers and scientists
If we categorize the existing information concepts into different levels, clarify their origins, and identify their true meanings, the information concepts with different opinions on the surface will appear less complicated and diverse
It is not very difficult to reveal the general nature of information
Summary
Starting from the works of Claude Elwood Shannon ([1] (pages 379–423)) and Wiener [2] in the middle of the 20th century, the question of what the information is has always been a major theoretical issue concerned by philosophers and scientists. Arellano Valle et al [5] have applied the research method of generalized skew-normal (GSN) negentropy to the complexity research of fish condition factor time series [5]. Since this interpretation method is proposed in the context of the mutual entanglement and correspondence between the two concepts of entropy and negative entropy, it is necessary to start with the interpretation of the two concepts of entropy and negative entropy and their related theories in order to clarify the specific meaning and nature of this interpretation method
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