Abstract This paper introduces the Neuro-Attractor Consciousness Theory (NACY), a formal theoretical framework for modelling artificial consciousness. NACY posits that consciousness-like states in artificial intelligence systems can be understood as emergent phenomena arising from the dynamics of neural attractor networks. Grounded in dynamical systems theory, resonance complexity, and predictive coding, NACY provides a unifying account of how attractor manifolds, stability, and adaptive transitions can generate conscious-like modes of information integration.… Read More »Neuro-Attractor Consciousness Theory (NACY): Modelling AI Consciousness