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The study aims to develop a cognitive AI architecture that enhances ethical alignment and multi-agent reasoning capabilities.

March 10, 2026Open Access

Codette: A Sovereign Modular Cognitive Architecture for Ethical Multi-Agent AI

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This framework improves ethical alignment in AI systems, suggesting effective multi-perspective cognition strategies.

The study aims to develop a cognitive AI architecture that enhances ethical alignment and multi-agent reasoning capabilities.
Developed Codette, a modular cognitive AI framework integrating multiple cognitive perspectives.
Implemented dynamic systems modeling for state evolution and consensus-based multi-agent synchronization.
Introduced a reinforcement-aligned ethical governance system with recursive feedback.
Achieved 82.6% ethical alignment with the AEGIS system.
Demonstrated a phase coherence of 0.99 in multi-agent interactions.
Noted a decay of epistemic tension by 71.3% and high cocoon coherence of 0.994.

JONATHAN HARRISON (2026) studied this question.

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