System and method for creating or validating a configuration based on physical and logical artifacts

Abstract

A computing device includes memory, a processor connected to the memory, and programming stored in memory. The execution of the programming by the processor configures the computing device to: accept as inputs a plurality of known configurations of at least one type of physically modular device, including associated physical artifacts; train a machine learning model to learn configuration types corresponding to at least one type of physically modular device based on the plurality of known input configurations of the at least one type of physically modular device and the associated physical artifacts; and create at least one valid configuration of a physically modular device when given a set of physical artifacts of the physically modular device based on the configuration types learned by the machine learning model.