The scout cluster architecture for cognitive computing

In this paper, the scout cluster is introduced as a processing architecture capable of developing rapid solutions to difficult cognitive problems. Most cognitive problems have a non-deterministic aspect to them, making the discovery of an efficient algorithm for their solution difficult or impossible. Scouting performs rapid parallel searches in hardware in an uncoordinated manner that makes it almost infinitely scalable. A solutions generated by the architecture are “accidental” or “ingenious”, since they are not constrained by a preconceived plan for what solutions must look like. Several cognitive problems are examined and simulated on a scout cluster, and favorable results are obtained