Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Information Data Length Theory of Human Emotions, How, What and Why

Version 1 : Received: 9 March 2024 / Approved: 11 March 2024 / Online: 11 March 2024 (09:04:13 CET)

How to cite: A Mageed, I. Information Data Length Theory of Human Emotions, How, What and Why. Preprints 2024, 2024030557. https://doi.org/10.20944/preprints202403.0557.v1 A Mageed, I. Information Data Length Theory of Human Emotions, How, What and Why. Preprints 2024, 2024030557. https://doi.org/10.20944/preprints202403.0557.v1

Abstract

The current paper provides a cutting-edge information data length- theoretic approach to human emotions. This is a revolutionary breakthrough that unifies information data length and the dynamics of emotions. The significant impact of both time and its mean value associate on both the upper and lower bounds of the obtained information data length is observed and noted. The paper concludes with some challenging open problems, combined with concluding remarks and future research pathways.

Keywords

Information data length; Psychological aspects of human emotions; emotional distribution

Subject

Computer Science and Mathematics, Applied Mathematics

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