Artificial intelligence selection and configuration

A computer-implemented method for automatically configuring and executing an intelligent agent, the method comprising:

• obtaining, by one or more processors, spatial-temporal magnetic imaging data of a brain of a worker performing a task from one or more magnetic imaging machines;
• generating, by the one or more processors, a brain region parameter indicating an active neocortex region associated with visual processing during performance of the task based on the spatial-temporal magnetic imaging data;
• querying, by the one or more processors, a data store comprising a plurality of records using the brain region parameter as a query input, wherein each of the plurality of records associates one of a plurality of different artificial intelligence (AI) component types with a corresponding neocortex region based on functional suitability;
• automatically selecting, by the one or more processors, a convolutional neural network (CNN) component type in response to a match between the brain region parameter and a record associating the CNN component type with visual processing;
• automatically configuring, by the one or more processors, the intelligent agent, wherein the automatic configuring comprises:
• configuring the intelligent agent to receive image data from a visual sensor and to provide the image data as an input to a CNN component based on the record associating the CNN component type with visual processing;
• generating, by the one or more processors, a processing flow parameter indicating a neocortical processing flow based on the spatial-temporal magnetic imaging data;
• and
• creating a data connection from an output of the CNN component to an additional AI component using one of a serial or a parallel connection to match the neocortical processing flow based on the processing flow parameter;
• and
• executing, by the one or more processors, the configured intelligent agent, wherein the executing comprises:
• receiving the image data from the visual sensor;
• processing the image data using the CNN component to generate an output;
• and
• providing the output of the CNN component to the additional AI component via the data connection.