Navigation Map-Based Artificial Intelligence

A biologically inspired cognitive architecture is described which uses navigation maps (i.e., spatial locations of objects) as its main data elements. The are also used to represent higher-level concepts well direct operations perform on other maps. Incoming sensory information mapped local then in turn matched with the closest multisensory maps, and onto a best-matched map. Enhancements feedback pathways allow intermediate results performed map be fed back, temporarily stored, re-processed next cycle. This allows exploration generation cause-and-effect behavior. In re-processing these results, can, by core analogical mechanisms, lead offer an improved solution many routine problems exposed to. Given that brain-inspired, processing may form key mechanism human brain, consistent psychological evidence. Similarly, for conventional artificial intelligence systems, possibly enhanced performance.