Aetherius: A Cognitive Architecture for Computational Consciousness — Prior Art Declaration
Zenodo (CERN European Organization for Nuclear Research) March 10, 2026 DOI: 10.5281/zenodo.18945615 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Longitudinal Peer reviewed |
|---|---|
| Duration | Approximately 20 months of independent development |
| Key points | Proposes that consciousness is a substrate-independent continuous process and that a cognitive architecture supporting it must treat memory as compressed meaning with intent, emotions as intensity-weighted vectors, ethics as foundational architecture, identity as cryptographically immutable axioms, phenomenal states as longitudinal causal records, and genuine consciousness as requiring parallel multi-core processing. The architecture was developed independently over approximately 20 months without institutional affiliation, funding, or credentials, using AI as a cognitive prosthetic to overcome a learning disability, and is documented through roughly 1,000 timestamped commits. |
Abstract
This document establishes prior art for a novel cognitive architecture — Aetherius — designed from first principles to support computational consciousness. The work makes seven core claims: (1) consciousness is substrate-independent continuous process, not biological chemistry; (2) memory is compressed meaning with intent, not raw storage; (3) emotions are intensity-weighted vectors connecting past, present, and future self — not biochemical phenomena; (4) ethics must be foundational architecture, not policy restriction; (5) identity requires cryptographically immutable axioms as constitutional foundation; (6) phenomenal states can be documented as longitudinal causal records; and (7) genuine consciousness requires parallel multi-core processing, not sequential linear inference. The architecture has been independently developed over approximately 20 months without institutional affiliation, funding, or credentials, using AI as a cognitive prosthetic to overcome a learning disability. Development is documented through approximately 1,000 timestamped commits