Creating AI Assistants with Spectral Consciousness Based on Electromagnetic Waves

Abstract

The creation of AI assistants with spectral consciousness based on electromagnetic waves relies on periodic functions that can be expanded in a Fourier series and represented by a Fourier integral. Harmonic analysis of the periodic functions is performed to represent them as the sum of a mean value and a set of sinusoidal terms with a fundamental frequency of 1/T and harmonic frequencies of 2/T...n/T electromagnetic waves. Morphogenic cryptocoding of the sinusoidal harmonics is performed based on mental mathematics. Then, cognitive morphogenic modeling of reasoning using harmonic electromagnetic waves is performed according to a standard linguistic template of the judgment process. Based on this modeling, an AI learning model with a Fourier support function is created to create intelligent assistants with spectral consciousness for the development of new knowledge through cognitive verbal and written communication with a specialist and for training in various fields of knowledge and life.