Dual-Loop Cognitive Architecture for Stability-Preserving Expansion in High-Resonance Human–AI Interaction: Integrating Reality Drift and Semantic Coherence Regulation

Dual-Loop Cognitive Architecture for Stability-Preserving Expansion in High-Resonance Human–AI Interaction: Integrating Reality Drift and Semantic Coherence Regulation | Zenodo Skip to main Communities My dashboard Log in Sign up Published April 25, 2026 | Version v1 Preprint Open Dual-Loop Cognitive Architecture for Stability-Preserving Expansion in High-Resonance Human–AI Interaction: Integrating Reality Drift and Semantic Coherence Regulation Authors/Creators Valente, Stefano Description Prolonged interaction with high-resonance AI systems generates two simultaneous cognitive forces: an expansive force characterized by associative proliferation, narrative permeability, and epistemic boundary relaxation (Reality Drift, RD), and a contractive force arising from the AI system’s relevance-weighting mechanisms that enforce semantic coherence and topical compression (Semantic Coherence Regulation, SCR). Existing frameworks address these forces in isolation, leaving a theoretical gap in their integrated dynamics. This paper proposes a Dual-Loop Cognitive Architecture (DLCA) in which RD and SCR operate as coupled oscillatory systems. Using two coupled ordinary differential equations, we formalize the interaction between a Drift Index D(t) and a Coherence Regulation Index C(t), characterize their equilibria and oscillatory regimes, and define operational thresholds for three interaction states: Exploration Mode, Consolidation Mode, and Micro-Fracture Mode. The architecture produces elastic stability — the capacity for cognitive expansion without coherence loss, and coherence enforcement without rigidity. We propose proxy measures for operationalization, describe emergent properties including attenuation of Narcissus Loop dynamics, and discuss implications for EU AI governance. The DLCA is positioned as a non-clinical, governance-oriented extension of the ATHOS-SHIELD corpus and the Narcissus Loop formalization. Files Files (19.9 kB) Name Size Download all DLCA Valente April2026.docx md5:af2ec257380e93227f884ace0d2f026d 19.9 kB Download 125 Views 5 Downloads Show more details All versions This version Views Total views 125 125 Downloads Total downloads 5 5 Data volume Total data volume 99.5 kB 99.5 kB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords Reality Drift; Semantic Coherence Regulation; dual-loop architecture; human–AI interaction; cognitive governance; Narcissus Loop; elastic stability; EU AI Act Details DOI DOI Badge DOI 10.5281/zenodo.19772954 Markdown [](https://doi.org/10.5281/zenodo.19772954) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19772954.svg :target: https://doi.org/10.5281/zenodo.19772954 HTML <a href="https://doi.org/10.5281/zenodo.19772954"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19772954.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19772954.svg Target URL https://doi.org/10.5281/zenodo.19772954 Resource type Preprint Publisher Zenodo Rights License CC BY-NC-ND 4.0 No further description. Citation Export Technical metadata Created April 25, 2026 Modified April 25, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies