ETA 23: Some basic parameters of the brain for measuring performance
Based on the fundamental theory, I have listed several basic functional facilities of the brain, exclusively as an introduction to the problem evaluation.
1. The capacity to build and operate image models (arts, many games, paranormal qualities...) 2. The capacity to build and operate symbolic models (positive science, technologies...) 3. The capacity to build and operate purely symbolic models (Quantum Mechanics...) 4. The capacity to integrate an image into a pre-existing image model 5. The capacity to translate an image model to GCL (description of an image model) 6. The capacity to translate a symbolic model to GCL (the symbolic model is associated to a certain case, translated to an image model and described in words) 7. The capacity to translate an image model to a symbolic model (general abilities in science) 8. The capacity to translate a symbolic model to an image model 9. The capacity to integrate symbolic information into an image model 10. The capacity to build concept-type image models from a family of image models 11. The capacity to build a concept-type symbolic model from a family of symbolic models. 12. The capacity to integrate symbolic information into a symbolic model 13. The speed to build/operate image models 14. The speed to build/operate symbolic models 15. The speed to build long range image models 16. The speed to build long range symbolic models 17. The speed/capacity to update preexisting models 18. The capacity/speed to build shielding models 19. The capacity to build a new model in front of a new external reality 20. The speed of finding a pre-existing model suitable to a new external reality 21. The speed of activation and deactivation by MZM of a preexisting model in front of a changing external reality. This implies both finding the suitable model and initializing it to the given external reality 22. The capacity to operate in time-sharing several models in front of a complex external reality
This list can continue, as the brain is extremely complex.
For instance: Endurance parameters (e.g. the quality of the technological implementation), dynamical parameters (e.g. the speed and stability of the operations, how fast one can switch from one operation to another in transient and stationary mode).