On the basis of the Agent-action-Objective (AaO) paradigm, it will be shown how the transformation of a word model to a geometric space description can be made the founda¬tion for an approach to informational invariants. In particular, the word model of a Causal Loop Diagram (CLD) has been used for simplifying the involved procedures. Since the explanation of a causal loop requires a verbal description of what is in the links, this kind of discourse is necessarily dependent on its producer’s intention and orientation. Both can be discovered through the functional geometry of non-linearly working language mechanisms. Although covered by textual surface properties, corresponding language spaces are approachable with VERTEX, which is a new version of Perspective Text Analysis (PTA). Moreover, reproduced order parameters are the result of the strict dependencies, which are characteristic of the entangled [AaO] units of the (AaO) model. Relative phase stability in the developing variables (a) of the A-component and (b) of the O-component of the model has revealed that VERTEX has the capacity to manifest the structural symmetry of the emerging A- and O-strands. Furthermore, the overall symmetry of the strands is a consequence of apparent super-string disparity, which has important theoretical implications
