This work presents a formal structural architecture for multi‑layer cognitive systems and artificial intelligence, developed within the Relational Architecture / Perception Mechanism Theory (RA/PMT) framework. The document outlines how cognitive processes can be modeled across layered representational fields, detailing the interactions between abstract relational structures (RA4), perception‑selection mechanisms (PMT), and their physical instantiation (RA1). The architecture provides: A unified conceptual model integrating multiple theories of consciousness and cognition. A layered structural blueprint for designing artificial cognitive systems. A formal description of information flow, selection dynamics, and representational constraints. A foundation for AGI‑oriented system design, emphasizing modularity, multi‑focus processing, and stable relational invariants. This publication is part of an ongoing research program aimed at formalizing RA/PMT as a general cognitive architecture and establishing its applicability to artificial intelligence, computational modeling, and theoretical neuroscience. It includes conceptual diagrams, structural definitions, and methodological notes relevant for researchers, engineers, and theorists working on advanced cognitive frameworks.
José Tomás Guevara Calderón (Thu,) studied this question.