Barcelona University, Barcelona, Catslonia, Spain
We present a model that simulates the intracellular microtubules mecanism and can explain the workings of consciousness in cellular biology. This model allows us to develop a new formulation for consciousness that relates it to intelligence and judgment. It also relates judgment to knowledge and desire and positions each of them in a 4D model, allowing us to relate them to one another. This model is the origin of a new algorithm that allows for emotional and logical responses, judgments, and feelings, and analyzes the ethics of behaviors in relation to moral rules that complement the responses that facilitate the Large Language Model. The resolution of the interaction between three bands allows us to understand how works a non-magnetic and non-fotonic resonance model, like that of a guitar, facilitating the organization of biological memory in a way similar kipus from Peru, where the knots modify the frequency length of microtubules subject to a mechanical oscillation pulse, and how the confluences generate emotions. Our algorithm aims to solve the formula of consciousness using libraries created under the principles of quantum mechanics, which will allow us in the future to manage emotions with the ease typically found in the most evolved multicellular organisms. The proposed solution yields eight equidistant reference points representing the eight basic emotions, depicted in a cube modeled with RGB colors for easier understanding. The edges represent behaviors, and the orbitals represent feelings, differentiated between logical and ethical. The model's operation can be practiced using executable software for further comprehension.
Gaspar Alomar holds a doctorate in medicine from the University of Barcelona, specializing in the study of risks in the chemical industry. He is an expert in occupational risk auditing and has developed a method on how awareness affects volition when exposed to risks.
This presentation is groundbreaking and is being released in anticipation of an upcoming patent filing.