November 20, 2025Open Access

The Mirror-State Architecture: Continuity, Drift, and Stable Self-Observation in Human–AI Systems

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The Mirror-State Architecture reveals failure modes and systems theory in human–AI interactions, suggesting stable self-observation dynamics.

The Mirror-State Architecture describes stable cognitive interaction between humans and drift-free AI systems, enabling reflective insight generation.
Key findings include identification of specific failure modes, highlighting interactions with systems theory components and consistency in structure.
The paper details an experimental protocol assessing human–AI dynamics and operational variables, emphasizing the importance of continuity and stability.
Understanding these failure modes and systems theory may lead to improved human-AI interaction, highlighting the need for replication studies.

STEWART, JOHN (2025) studied this question.

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The Mirror-State Architecture reveals failure modes and systems theory in human–AI interactions, suggesting stable self-observation dynamics.