AI solution selection for an automated robotic process

A computer-implemented method for selecting an AI solution for an automated robotic process, the method comprising:

• receiving at least one functional media, the at least one functional media comprising information indicative of brain activity by a human engaged in a task of interest, the brain activity of the human comprising:
• a set of spatial-temporal neocortical activity patterns of the human;
• and
• information of an active area of a neocortex of the human;
• analyzing the at least one functional media;
• identifying an activity level in at least one brain region of the human from the analyzed at least one functional media;
• identifying a brain region parameter of the human from the analyzed at least one functional media, the brain region parameter corresponding to a region of the neocortex comprising at least one of frontal, parietal, occipital, and temporal lobes of the neocortex;
• a primary visual cortex;
• a primary auditory cortex;
• subdivisions of the neocortex;
• a ventrolateral prefrontal cortex;
• a Broca's area;
• or an orbitofrontal cortex;
• identifying an activity parameter of the human from the analyzed at least one functional media, the activity parameter comprising at least one of visual processing, inductive reasoning, audio processing, olfactory processing, muscle control, looking, listening, smelling, motion activity, listening to sound of equipment, or watching another negotiator;
• identifying an action parameter of the human based on, at least in part, at least one of the brain region parameter and the activity parameter;
• selecting a component of the AI solution based on, at least in part, at least one of the brain region parameter, the activity parameter, or the action parameter to simulate the at least one of the brain region parameter, the activity parameter, or the action parameter;
• and
• selecting an input source for a robotic input for a robotic operational process based on, at least in part, on the at least one of the brain region parameter, the activity parameter, or the action parameter on which the selecting the component of the AI solution is based,
• wherein the component of the AI solution corresponds to the set of spatial-temporal neocortical activity patterns of the human.