This work presents the unified, computational architecture for modeling cognition as a continuous pipeline from signals to consciousness. The framework formalizes how physical signals are transformed into meaning, how meaning is modulated by internal states and developmental stage, and how interpretation drives behavior and long‑term identity formation. The model integrates biological grounding, geometric meaning structures, internal state dynamics, and history‑dependent learning into a single mathematically explicit system. The architecture functions as a structural successor to psychology: Freud’s drives become internal state vectors, Jung’s archetypes become attractor basins on the meaning manifold, and Nietzsche’s perspectivism becomes γ‑weighted projection. What were once metaphors become measurable, simulatable components of cognition. Across multiple case studies, the model demonstrates how perception, interpretation, behavior, development, and consciousness emerge from the same underlying geometry. It explains stability (SBC), collapse (SCS), personality formation, trauma, recovery, and developmental trajectories through curvature, basin depth, and attractor structure. This provides a new foundation for psychology, cognitive science, AI cognition, and developmental theory. This is a modern, structural, computational psychology: a single architecture capable of explaining perception, meaning, behavior, development, and consciousness.
Connor Zaichkowski (Mon,) studied this question.