Therefore, to validate the Neuro-Symbolic pipeline in a legally compliant manner, a standard Windows application (Calculator) was utilized as the Minimum Viable Product (MVP). It is crucial to note that the underlying logic, visual perception, and planning algorithms remain exactly the same regardless of the target application. The system interacts purely with pixels and standard OS-level inputs. Knowledge base mapping (Calculator example): To teach the agent how to use the calculator, atomic actions were defined in the database. Each action maps a physical button to a logical state. For example, the "Plus" button is defined as follows: { "action_id": "act_calc_plus", "name": "Click_Plus_Button", "visual_anchor": "/templates/calc/btn_plus.png", "preconditions": ["Number_Inputted"], "effects": ["Operator_Ready"], "execution_type": "single_click", "confidence_threshold": 0.85 } If this were a mining software, the visual_anchor would simply point to the "Calculate Volume" icon, and the preconditions would be ["Topography_Loaded"]. The architecture is completely agnostic to the software it controls. Figure 2. The MSA Control Interface. A React-based web dashboard allows users to trigger complex routines. The status "Éxito!" (Success) indicates the planner successfully derived and executed the logic sequence.
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