# The Information Nature of Consciousness and Digital Uploading: A Complete Engineering Framework Based on the Operating System Metaphor

Article · Huan Huo

- Archive id: doi:10.5281/zenodo.21402636
- Published: 2026-07-17
- Venue: Zenodo (CERN European Organization for Nuclear Research)
- DOI: https://doi.org/10.5281/zenodo.21402636
- Citations: 0
- Source URL: https://doi.org/10.5281/zenodo.21402636
- Provenance: openalex

## Abstract

Consciousness is often regarded as a mysterious subjective experience. However, if understood as a specifictype of information processing architecture, its mechanisms can be deconstructed, simulated, and even transferred.This paper attempts to establish a model for the thinking architecture of the entire human ethnic group, includingthe generation of autonomous consciousness (the "I"), the information architecture patterns under different states,the mathematical formalization of consciousness, the mechanisms behind the thinking patterns of specialpopulations (various practitioners, regardless of belief), and engineering pathways from a digital perspective. Itreveals the informational attributes of consciousness (the soul) and points out that, with mature technology,consciousness can be completely digitally uploaded to a new carrier or environment, with continuity ofsubjectivity and memory potentially preserved. Brain-computer interfaces and the virtualization of the Drosophilawhole-brain connectome have preliminarily demonstrated the feasibility of this path. This paper aims to provideengineering theoretical support and practical guidance for the digital analysis of human thought, cross-carriermigration, and the generation of artificial intelligence consciousness. Keywords: Consciousness Uploading; High-Dimensional Topological Residual Flow; Whole-Brain Emulation;Thinking Architecture; Consciousness Generation; Fuzzy Decision System; Self-Referential Process; UncertaintyModeling; Observer Dependence; Brain-Computer Interface; Drosophila Whole-Brain Connectome This record is submitted by Lynn Lou Beran on behalf of the author. The author is solely responsible for the content.

_Abstract reproduced under CC-BY (publisher license, via OpenAlex)._

Topics: [Connectomics & Brain Mapping](https://space-kitty.com/topics/connectomics)

---
Space Kitty Archive · https://space-kitty.com · API: https://space-kitty.com/api/v1 · MCP: https://space-kitty.com/mcp · Premium: $0.20/request via x402 (Base Sepolia (testnet)). Metadata: arXiv (CC0), OpenAlex (CC0), Europe PMC (CC BY/CC0 works), ClinicalTrials.gov.