Minimal Recognition Overhead Computing Architecture: Systems and Methods for High-Efficiency Computing Leveraging Recognition Physics Principles

A computer-implemented method for recognition-based computing control, comprising:

• determining, for each of a plurality of computational entities, a respective metric from one or more measured, estimated, inferred, predicted, or profiled quantities associated with the respective computational entity;
• determining a metric_scale that is strictly positive;
• normalizing the respective metric using the metric_scale to obtain a dimensionless recognition metric r;
• computing, from the dimensionless recognition metric r, a recognition coverage value according to F_cov(r)=r/(r +X_opt), where X_opt is a positive informational scale;
• generating, from the recognition coverage value, one or more machine-control outputs that directly control operation of at least one computing subsystem;
• and
• controlling the at least one computing subsystem according to the one or more machine-control outputs.

A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to:

• determine, for each of one or more computational entities, a respective metric from one or more measured, estimated, inferred, predicted, or profiled quantities;
• determine a metric_scale that is strictly positive;
• normalize the respective metric using the metric_scale to obtain a dimensionless recognition metric r;
• compute a recognition coverage value according to F_cov(r)=r/(r+X_opt), where X_opt is a positive informational scale;
• generate, from the recognition coverage value, one or more machine-control outputs that directly control operation of at least one computing subsystem;
• and
• control the at least one computing subsystem using the one or more machine-control outputs.