Theoretical Equations for the Study of Entropy of Emotions and Enhancing Performance of Artificial Intelligence

Authors

  • Mark Christopher Arokiaraj Cardiology, Pondicherry Institute of Medical Sciences, Pondicherry, India

Keywords:

Artificial intelligence, Emotions, Entropy, Mathematica, Markov’s chain, Game theory

Abstract

Artificial intelligence (AI) is used in every aspect of life nowadays. The current AI needs further improvisation to prevent its undue use or singularity, where the human being tends to lose control of its function. Hence, there is a need for ethical modelling of AI to prevent unregulated activities. The author proposes the addition of emotions or humanization to prevent this process of singularity. Mathematical equations were developed by the author heuristically in this study and solved using wolfram Mathematica, and the emotional movements can be regulated by modifying the parameters or their significance. Alternatively, these equations can be used by psychologists to study human behavior and predict entropy.

Downloads

Download data is not yet available.

Downloads

Published

2023-05-16

How to Cite

Arokiaraj, M. C. (2023). Theoretical Equations for the Study of Entropy of Emotions and Enhancing Performance of Artificial Intelligence. TechHub Journal, 3, 52–56. Retrieved from https://techhubresearch.com/index.php/journal/article/view/93