AI Agent Architecture Based on the Theory of Consciousness

The present paper proposes a formal architecture for an artificial intelligence agent grounded in the Theory of Consciousness. The agent is defined as a computational realisation of the observer from the cognition cycle, where all components are derived from the axiomatic topological framework of the Theory of Consciousness. Three fundamental properties of the agent are established: uniqueness (the agent is identified by its knowledge structure), universality (grounded in an ontological base encoding the method of cognition), and flexibility (layered acquisition of new knowledge filtered by harmonic compatibility). A formal layered knowledge model is introduced, together with a three-condition criterion for knowledge acceptance, an ontological cognition cycle, and an agent initialisation protocol. The proposed architecture fundamentally differs from existing AI paradigms in that knowledge integration is governed not by an external loss function but by the internal harmony principle, ensuring that specialisation never compromises the agent’s ontological identity.