Described herein are embodiments for performing pattern recognition using a hierarchical network. The hierarchical network is made up of fractal cognitive computing nodes that manage their own interconnections and domains in an unsupervised manner. The fractal cognitive computing nodes are also self-replicating and may create new levels within the hierarchical network in an unsupervised manner. The form of signals processed in the hierarchical network may take on the form of key-value pairs. This may allow the hierarchical network to replicate and perform adaptive pattern recognition in non-domain-specific manner with regards to the input signals.
PATTERN RECOGNITION SYSTEM UTILIZING SELF-REPLICATING NODES