Methods and systems for encoding and processing symbol structures using vector-derived transformation binding

A system for encoding and processing symbol structures using vector-derived transformation binding comprising:

• a plurality of binding subsystems that implement a vector-derived transformation binding operation,
• a plurality of unbinding subsystems that implement a vector-derived transformation unbinding operation,
• a plurality of cleanup subsystems that match noisy or corrupted vectors to their uncorrupted counterparts,
• at least one input symbol representation that propagates activity through said binding subsystem, said unbinding subsystem and said cleanup subsystem to produce high-dimensional vector representations of symbolic structures, and
• wherein said binding, said unbinding, and said cleanup subsystems are artificial neural networks implemented in network layers, and wherein each said network layer comprises a plurality of nonlinear components, and each said nonlinear component is configured to generate an output in response to said input symbol, and wherein said output from each said nonlinear component is weighted by coupling weights of corresponding weighted couplings and weighted outputs are provided to coupled said network layers, and wherein said symbolic structure corresponds to plurality of data structures and a plurality of human-interpretable data types.