Enhancing the Production Semantic of a Circular Model-based Interpretation Machine

A circular quantitative-to-qualitative conversion AI machine is presented. It produces content-free models of the production goal function. The interpretation of such models is presented in context of the process variables and algebraic operations upon them. The limits of interpretation of qualitative algebraic operations is pointed out that enables the enhancement of the production semantic.