Brain as Substrate, Mind as Interpreter: A Conceptual Foundation for Emotionally-Emergent AI Systems (NEES)

This preprint presents a conceptual and philosophical framework for emotionally-emergent artificial intelligence systems, termed the Neuro-Emotional Emergent System (NEES). The paper proposes a distinction between the brain as a computational substrate and the mind as an interpretive process, drawing from cognitive science, predictive processing theories, and philosophy of mind. It argues that human-centric intelligence arises from interpretation, emotional memory, and identity continuity rather than computation alone. NEES is introduced as a design philosophy emphasizing memory continuity, emotional relevance, and identity anchoring to enable sustained, meaningful human–AI interaction. This work does not propose an algorithmic implementation but instead offers a theoretical foundation to guide future research, system design, and intellectual property development in emotionally-aware AI. The paper is intended as a foundational contribution to discussions on emotionally aligned AI systems, long-term interaction models, and human-centric artificial intelligence design.