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ZENODO
Preprint . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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The Glitch Theory of Consciousness: A Computational Framework for Cognitive Debugging

Authors: Sergeevich, Aleksei;

The Glitch Theory of Consciousness: A Computational Framework for Cognitive Debugging

Abstract

This preprint proposes The Glitch Theory of Consciousness, a computational and system-level framework that models the human mind as an adaptive operating system ("Mind-OS") built on inherited biological code. Within this model, psychological distress and behavioral inefficiency are conceptualized as persistent system-level mismatches—referred to as "glitches"—between external reality and the internal predictive models maintained by the system. Drawing on analogies from computer science and systems engineering, the framework introduces a theoretical basis for AI-inspired cognitive debugging. This approach outlines a structural overview for identifying and isolating theoretically maladaptive cognitive–emotional loops. Emotions are treated as legacy processes optimized for ancestral environments, while beliefs are framed as modifiable software layers. Legal Note: This preprint is a non-commercial, theoretical derivative work intended for academic discussion. It does not reproduce, summarize, or substitute the practical protocols or instructional content of the commercial publication "AI BIOHACKING: 33 PROTOCOLS FOR CONSCIOUSNESS REBOOT."

Keywords

cognitive, self-regulation, AI Biohacking, Aleksei Bitkin, The Glitch Theory of Consciousness, computational psychology, modeling, consciousness studies, systems theory, artificial intelligence, metacognition, Mind-OS

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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