Artificial intelligence engine having various algorithms to build different concepts contained within a same AI model

On a computing device, a method for generating an artificial intelligence (AI) model, the method comprising:

• displaying a user interface to supply information to and/or receive information from an AI engine;
• receiving, via the user interface, a submission requesting to generate and train an AI model for a physical task;
• based upon the submission, choosing one or more dynamic programming training algorithms from a library of algorithms to automatically assemble and build a first learning topology for a first aspect of the AI model;
• based upon the submission, choosing one or more policy optimization algorithms from the library of algorithms to automatically assemble and build a second learning topology for a second aspect of the AI model;
• obtaining training data;
• training the AI model with the training data to generate and provide a trained AI model;
• and
• deploying the trained AI model to a robotic device configured to perform the physical task.

On a computing device, a method for generating an artificial intelligence (AI) model for a physical task, the method comprising:

• displaying a user interface to supply information to and/or receive information from an AI engine;
• receiving, via the user interface, a submission requesting to generate and train an AI model;
• receiving one or more mental models coded in a pedagogical software programming code, each of the one or more mental models comprising one or more distinct aspects of the task;
• identifying one or more learning topologies and algorithms determined to be previously trained to solve problem types determined to be similar and/or analogous to each aspect of the one or more mental models;
• choosing one or more dynamic programming training algorithms from a library of algorithms to automatically assemble and build a first learning topology for a first aspect of the AI model;
• choosing one or more policy optimization algorithms from the library of algorithms to automatically assemble and build a second learning topology for a second aspect of the AI model;
• obtaining training data;
• training the first learning topology of the AI model;
• training the second learning topology of the AI model;
• training the first aspect and the second aspect of the AI model to cooperate to achieve the task;
• generating and providing a trained AI model;
• and
• deploying the trained AI model to a robotic device configured to perform the physical task.