Bio-Regulated Mind Matrix: A Human Physiology-Inspired Architecture for Resilient and Adaptive Artificial General Intelligence

Current artificial intelligence systems remain brittle, vulnerable to noise, adversarial attacks, distribution shifts, and resource constraints—lacking the robust homeostasis and self-healing capabilities of biological organisms. This paper proposes the Bio-Regulated Mind Matrix, a unified bio-inspired architecture for artificial general intelligence (AGI) that maps the human body’s major physiological systems, endocrine bioregulators (hormone analogs), and multi-layered DNA error correction to computational modules. A central BioRegulatorCore orchestrates dynamic balance, stress response, reward-driven learning, and self-optimization, mimicking hypothalamic-pituitary control. Integrated self-evolving layers and multi-layered resilience enable continuous adaptation, fault tolerance, and ethical alignment. This framework addresses core AGI challenges, providing a scalable blueprint for resilient, human-like intelligence.