A control architecture is based on hypotheses concerning natural intelligence.

A control architecture and algorithms to implement the architecture have been conceived to enable a robot to learn from its experiences and to combine knowledge gained from prior experiences in such a way as to be able to solve new problems. The architecture is an abstraction of an interacting system of relatively simple components that, when properly interconnected, should enable the spontaneous emergence of behaviors from the complete system that would not necessarily be expected from the individual components. These emergent behaviors should enable a robot to interact robustly and intelligently with a complex, dynamic environment.