Update 01-02-07.md

docs/01-02-07.md

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 ### 1.2.7.1 Ontological Methods in Systems Engineering 
 
-[Ecological interface design](https://en.wikipedia.org/wiki/Ecological_interface_design) is different from "design thinking." This is because the design and construction of ecological interfaces between nodes, of an *abstracted network* of systems in an environment, starts with axioms of physics, mathematics, and *human factors,* that describe the given "socio-technical" ecosystem in analytical and graphical terms. Those sets of predicates, or descriptive statements of an ecology obtained via *work domain analysis,* are human as well as machine-readable. This approach to Research and Development (R&D) focuses on what is and what can be, in terms of a solution for any category of problems. 
+[Ecological interface design](https://en.wikipedia.org/wiki/Ecological_interface_design) is different from "design thinking." This is because the design and construction of ecological interfaces between nodes, of an *abstracted network* of systems in an environment, starts with axioms of physics, mathematics, and *human factors,* that describe the given "socio-technical" ecosystem in analytical and graphical terms. Those sets of predicates, or descriptive statements of an ecology obtained via *work domain analysis,* are human as well as machine-readable. This approach to Research and Development (R&D) focuses on what is and isn't feasible according to available truths, in terms of a solution for any category of problems. 
 
-Whereas, statements discovered through trial-and-error based user-experience research, in [design thinking](https://en.wikipedia.org/wiki/Design_thinking), are from a psychological, social, political, economic, business and anthropological perspective, which are only human readable. Design thinking's practicality avoids the formalism and pragmatism of ecological interface design, for making R&D methods more accessible and marketable to non-engineers. This approach to R&D focuses on what ought to be, in terms of a solution for well-defined, finite problems. 
+Whereas, statements discovered through trial-and-error based user-experience research, in [design thinking](https://en.wikipedia.org/wiki/Design_thinking), are from a psychological, social, political, economic, business and anthropological perspective, which are only human readable. Design thinking's practicality avoids the formalism and pragmatism of ecological interface design, for making R&D methods more accessible and marketable to non-engineers. This approach to R&D focuses on what ought to be according to a customer's desire, in terms of a solution for well-defined, finite problems. 
 
 The method of *knowledge discovery* necessary in building advanced AI for solving "hard problems", that is used in ecological interface design, eventually incorporates all possible data that can be unambiguously addressed via any R&D method, for describing the **"reality"** of a situation, including *spatial and temporal* aspects of any observable chain-of-events, from all humanly possible perspectives.