N3UES — Neuro-Neural Universal Evolution Systems: A Conceptual Research Domain Specification within Emergence Governance

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Authors: Mounir Akarkach
Cited by: 0

Abstract

N3UES (Neuro-Neural Universal Evolution Systems) is introduced as a conceptual interdisciplinary research domain within Emergence Governance. The domain provides a structured analytical space for studying the co-evolution of biological neural systems, artificial neural networks, and complex adaptive infrastructures across cognitive, technological, institutional, and societal environments. Contemporary research frequently treats biological cognition, artificial intelligence, adaptive infrastructures, and governance systems as separate disciplinary domains. N3UES proposes a unifying research designation in which these systems may be analyzed as interconnected emergence processes operating within shared adaptive environments. The domain is positioned within the broader architectural ecosystem of Emergence Governance, which includes the following conceptual components: Akarkach 7-Stage Emergence Model — an epistemic maturity membrane for emergent system states Pre-Inference Governance — a governance architecture in which execution is treated as a conditionally authorized capability rather than a default right ASiSO — an architecture for action-level authorization and oversight ASOSE — a semantic architecture for meaning stabilization and boundary integrity in emergent systems Within this architectural ecosystem, N3UES functions as a research domain for examining how neural cognition, artificial neural computation, and adaptive infrastructures co-evolve under conditions of epistemic maturity, semantic coherence, and authorization-centered governance. The specification does not introduce a new governance architecture and does not replace or supersede A7SEM, ASOSE, ASiSO, or Pre-Inference Governance. Instead, N3UES designates a domain of inquiry within which systems characterized by neural dynamics, adaptive evolution, and complex emergence can be studied in relation to governance architectures. This publication is strictly conceptual and analytical. It does not introduce clinical procedures, biomedical treatments, engineering protocols, software architectures, operational governance instructions, or deployment guidance. N3UES should therefore be understood as a conceptual research domain specification intended to support interdisciplinary inquiry into neural systems, artificial intelligence, adaptive infrastructures, and governance-sensitive emergence processes.

Fields of Study & Subjects

Complex Systems and Dynamics Psychiatry Mental Health Neuroscience Cybernetics and Technology in Society

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 March 2026
Language
ENC