allen-proxmire/Regulated-Multiplicity: v4.0_RM_AI-added

This release expands the Regulated Multiplicity repository into a two‑paper research program, combining the original theoretical manuscript with a new engineering‑focused architecture paper. Included in this release RM_Manuscript.pdf — the original theoretical paper introducing Regulated Multiplicity as a model of consciousness, grounded in internal diversity, regulation, and self‑modeling. RM_AI.pdf — a new systems‑architecture paper developing the engineering implications of the same underlying structure. This paper formalizes the architecture, presents a minimal prototype, derives testable predictions, and outlines a research agenda for building robust, self‑correcting AI systems. What's new A complete, publication‑ready Draft 4 of Regulated Multiplicity: An AI Systems Architecture for Robust, Self‑Correcting Models. A unified conceptual bridge between the theory paper and the engineering paper. A clarified repository structure that positions Regulated Multiplicity as a coherent research direction rather than a single manuscript. About the project Regulated Multiplicity proposes that intelligence emerges not from a single model acting alone, but from the regulated interaction of multiple internal perspectives. The two papers in this release articulate this idea from complementary angles: Theory: Regulated Multiplicity as an architectural model of consciousness. Engineering: Regulated Multiplicity as a practical AI systems architecture with measurable advantages in robustness, introspection, and self‑correction. Together, they form the foundation for a research program exploring regulated internal diversity as a design principle for next‑generation AI systems.