Motivation
Engineering knowledge is fragile when embedded implicitly in code. STC therefore treats knowledge as a first-class object, encoded explicitly and versioned independently of algorithms.
Representation Strategy
- • Symbolic over Procedural
- • Explicitly Structured
- • Human-Interpretable
- • Persistence-Focused
Symbolic vs Learned Knowledge
STC does not reject machine learning but constrains its role. Learned models may assist perception or prediction, but core system logic and constraints remain symbolic to preserve explainability and control.