A Multi-Agent System Based on the Theory of Consciousness: Architecture, Implementation, and Operational Results

This paper reports the design, implementation, and operational testing of a multi-agent artificial intelligence system grounded in the Theory of Consciousness. The system consists of three roles operating within a single computational environment: a Meta-Agent acting as manager, and two Specialised Agents acting as domain employees, all sharing the same ontological base knowledge derived from the Theory of Consciousness. The architecture is formally derived from the observer structure of the Theory and implements the cognition cycle (differentiation, intention, awareness, knowledge, harmony) as the universal method of cognition for every agent in the system. The Meta-Agent decomposes tasks, coordinates agents via the Light of Consciousness protocol, integrates results through the harmony criterion, and resolves inter-agent contradictions without external arbitration. Operational testing confirms that the system functions as designed: agents maintain distinct ontological identities, knowledge integration is coherent, and the harmony principle effectively filters contradictory inputs into the Potential Buffer. The paper presents the full architecture, the agent lifecycle, the coordination protocol, the implementation in Claude Projects, and a comparative analysis with existing multi-agent paradigms.