Every indexed document

Links and Nodes are not as distinct as they are within an ordinary mathematical

so we will persist in calling them merely hypergraphs. In a hypergraph

such “hypergraphs” should always be referred to as generalized hypergraphs

localized knowledge representation is in

which on the surface is not that different from a number of

most of them descending from various variants of formal logic. Here we briefly

where “map formation” algorithms for creating localist knowledge

where Economic Attention Networks (ECAN) are introduced and

in which ANNs combine localist and globalist

neural-net-like knowledge representation

Global and Glocal Knowledge Representation

each piece of knowledge is stored using a particular

each piece of knowledge is stored using a small percentage of

with a hybrid category we refer to as glocal that combines

and has direct relevance to understanding

or a pattern of arrangement of something – thus a pattern is always

because every pattern can be viewed as a

interconnected elements. The view of mind as

then we in the AGI field certainly have our work cut out for

and perhaps via practical implementations of current