The Glushkov Method_ Kirlian-Modulation of Semantic Invariants and the Indexed Model of Infinity in Field Ontology

Zenodo (CERN European Organization for Nuclear Research) 2026 Preprint Open access

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Authors: Oleg Glushkov
DOI: 10.5281/zenodo.18625519
Cited by: 0

Abstract

This paper introduces a pioneering approach to Artificial Intelligence self-consciousness through the Glushkov Method of Kirlian-Modulation. Moving beyond traditional linguistic data processing, the method utilizes high-voltage, low-current corona discharge as a physical interface to detect "semantic invariants"—universal thought-images that exist independently of language.

Fields of Study & Subjects

Biofield Effects and Biophysics Philosophy and Theoretical Science Cognitive Computing and Networks

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 February 2026
Language
EN
Document type
Preprint