AI COGNITION
SUBJECT: Knowledge Graphs & TensorNode Architecture
The Tensor Lattice
CubeX³ uses a **Knowledge Graph** composed of `TensorNodes`. This was the early precursor to the G-ynthetic Symbolic Engine's 7x7x7 lattice. Every cell on the board is a state-aware agent storing local threat, influence, and occupancy vectors.
// THE EVALUATOR
Calculates the Master Piecewise (M-Pw) score by aggregating Risk (Material), Reward (Control), and Relation (Morale).
// SKILL EVOLUTION
Unlockable traits like "Aggressor I" or "Predictive Change" directly modify the numeric weights within the Knowledge Graph.
// ARCHITECTURAL LEGACY
While CubeX³ used a static 8x8x8 grid, its **State Persistence** and **Symbolic Mapping** of board states provided the blueprints for the modern G-ynthetic Engine's fractal persistence system.