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Other literature type . 2026
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Research . 2026
License: CC BY NC ND
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY NC ND
Data sources: Datacite
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AIEZR: SOVEREIGN COGNITIVE INTELLIGENCE (CI) - Qubit Cell Architecture & Neuro-Symbolic Algorithms for Systems Engineering and Critical Infrastructure Governance

Authors: Wibisana, R Wahyu;

AIEZR: SOVEREIGN COGNITIVE INTELLIGENCE (CI) - Qubit Cell Architecture & Neuro-Symbolic Algorithms for Systems Engineering and Critical Infrastructure Governance

Abstract

This paper presents a transformative paradigm in Systems Engineering for autonomous control through the introduction of Cognitive Intelligence (CI) and the implementation of the AIEZR Cognitive Machine (CM). Recognizing the inherent systemic failures of probabilistic Large Language Models (LLMs) when applied to critical infrastructure management (SCADA & DCIM), AIEZR redefines cognitive sovereignty by absolutely eliminating conventional LLM dependencies. Through precise Systems Engineering methodology, AIEZR adopts a Qubit Cell structure that integrates Neuro-Symbolic algorithms—fusing deterministic 5W Root Analytics as the logical atomic nucleus with Selective State Space Models (SSM) and Liquid Neural Networks (LLN). Mathematical proofs within this document demonstrate that the system is capable of extreme memory compression into Micro-Qubit space (32:1 ratio), guaranteeing zero hallucination via a mathematical Veto mechanism, and possessing Auto-Genesis capabilities to autonomously synthesize its own software organs. The result is a sovereign, fully deterministic cognitive machine designed to ensure the security and efficiency of future vital infrastructure.

Keywords

Cognitive Intelligence, Systems Engineering, SCADA, Micro-Qubit

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citations
The total number of citations received by all articles of the researcher of interest.
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.
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