Triadic Logic for Pre Symbolic AGI

This file details the 'Deep Grammar' of the MetaMould framework, proposing a triadic logic that serves as the pre-symbolic foundation for Artificial General Intelligence. While traditional computing relies on binary Boolean operators, Sun Yu-li introduces ternary operands—Being, Belonging, and Becoming—to capture the nuanced transitions of thought.

These operands function as existential intentions that guide the stabilization of Conceptual and Structural graphs (CS-Graphs) before any symbolic labels are applied. In this triadic system, a dot represents identity, a line expresses relational motion, and a plane stabilizes higher-order context. This geometric-logical basis allows AGI to process information as meaningful form rather than just raw data.

By establishing these universal patterns in a computable architecture, the framework solves the symbol grounding problem, ensuring that meaning is anchored in the invariant structure of the data itself. Ultimately, triadic logic provides the necessary scaffolding for machines to bridge the gap between subjective internal intent and objective external reality, creating a transparent and scalable pathway toward true machine cognition.