A knowledge layer is not just a static database but a dynamic, evolving architecture that adapts knowledge from perception to linguistic representation.

Academic research proposes a two-layered knowledge architecture where one layer captures general concepts to achieve broad applicability, and a second layer adapts these concepts to specific contexts and needs, allowing AI to continuously generate, refine, and evolve knowledge rather than relying on fixed ontologies.