What question did this study set out to answer?

The aim is to develop a framework for understanding and engineering coherence in artificial cognitive systems.

February 2, 2026Open Access

Foundations of Coherent Artificial Cognition: A Structural-Dynamical Framework, Global State Architecture, and the A-Test Protocol

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This work proposes a framework for coherent cognition in AI, indicating design principles for safety and reliability.

The aim is to develop a framework for understanding and engineering coherence in artificial cognitive systems.
Developed a structural-dynamical framework for cognitive coherence.
Introduced a Global State architecture with integrated representation and self-models.
Created the A-Test protocol to evaluate belief coherence and identity stability.
Established a model where coherent cognitive organization is analyzed mathematically.
Identified key metrics for evaluating structural self-reflection in AI systems.
Proposed coherence as a foundational principle in AI design for improved reliability.

Sergejs Kaminovs (2026) studied this question.

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