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Published March 31, 2023 | Version 17
Journal article Open

E=mC^2 for Information and Impact – Novel Theoretical Modelling Concepts in Information Entropy

  • 1. Pondicherry Institute of Medical Sciences, India

Description

Sensitive or unstable information has an impact in life in various fields, and they have the potentials to be used as a tool for reaching out to respective people in various situations. The study was performed to theoretically model the flow of sensitive information in various circumstances. The ‘unstable’ information, like the ‘unstable’ nucleus, has the ability to disseminate and missionize the situations quickly and impact output factors in various fields. The output factor Ei or ‘the Information energy’ can be modeled with the conventional energy equation (E=mC2). The equation can be modified with the addition of celebrity and humor factors to catalyse the spread of information. Angle corrections can be made for differences in celebrity views. Also, electromagnetic laws are applicable to information entropy in addition to the laws of thermodynamics for information entropy described by Shannon. With time as a factor and Laplace’ transformations of time, there is a potential for an informational stress test. Information promulgations can have alternating/ direct current (AC-DC), Laplace, and Fourier transformations in their transmission discourse. Artificial intelligence (AI) is widely used, and its singularity is for-seeable. The introduction of emotions can be a solution to prevent singularity and also enhance its function. This report deals with the possibilities to model information’s spread and output reactions and identifies potentials to overcome its negative impact and possible applications in the healthcare field. Also, for the emotional modelling of AI, basic equations were developed heuristically and solved using Wolfram Mathematica. The supplements which include the basic equations, non parametric entropy, parametric entropy and angulations represent the angulations in the entropy process.

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