Medium Article: https://medium.com/p/c036d5d78f78?postPublishedType=initial

This article, by Dr. Jerry A. Smith, describes a novel neurocognitive memory architecture that allows enterprise knowledge systems to grow their own ontologies rather than relying on rigid, hand-written schemas. By mimicking human mental faculties like episodic and semantic memory, the system autonomously identifies new entity types, relationships, and risk patterns from a shifting body of data. A specialized observability layer acts as a form of machine metacognition, tracking how the system’s understanding evolves and distinguishing genuine learning from mere data accumulation. To ensure security, every automated proposal requires human adjudication and strictly adheres to provenance-grounded access controls. Ultimately, the research demonstrates how transforming a static database into a self-observing, emergent instrument enhances complex tasks like due diligence and regulatory compliance.