interesting, so 2D would be a "matrix language" somewhat similar to Matlab/Octave? it would be interesting to evolve a language from 2D or 3D to more abstract,

interesting, so 2D would be a "matrix language" somewhat similar to Matlab/Octave? it would be interesting to evolve a language from 2D or 3D to more abstract, higher dimensional representation of objects and topologies, like the cognitive spaces described in the article which operate on sparse vectors in a multidimensional system of coordinates (aka "grid cells"). i'm wondering if there is a language for defining network topologies like that, having some abstractions for JOIN/LINK operators to form & evolve a network [0] and FIND or FIND_SIMILAR operator for traversing that graph (looking for similar objects or clusters of objects), and something that allows to simulate "small world networks" effects, heuristics and shortcuts we see in real world graphs (including neural connectivity and distributed communication we observe in the brain) [0] Leslie Valiant, Memorization and Association on a Realistic Neural Model https://web.stanford.edu/class/cs379c/archive/2012/suggested_reading_list/supplements/documents/ValiantNC-05.pdf https://web.stanford.edu/class/cs379c/archive/2012/suggested...