I'm glad you brought this up! I've thought about this a lot, and it came up many times while I was developing liken. The issue was that we wanted to have a more [visual/spatial] representation of the node structure. But this complicates matters 100-fold. Think of the example Jaka brought up about the links from a "rock" node. "Rock" may be very close to "Music" in conceptual space, and it may also be very close to "Geology," but "Music" and "Geology" are very far apart in conceptual space. This destroys the idea of "clusters," unless nodes are constantly rearranging themselves into clusters -- at which point the cluster is basically a list, which is our current default.
We can mentally reconcile this problem very easily, because that's the way our mind works. Of course "Rock" can have a million connotations! But when it comes down to displaying these relationships on a grid of pixels in 2D or 3D space, all existing models of representation fall short. The "nodemap" representation of liken is the dumb, brute-force method of describing the pathways as fixed in 2D space. This would be similar to (if it were possible) taking a picture of the brain from the top, with every neuron and connection visible. It's interesting to look at, but ultimately useless in its ability to really tell us anything.
That's why when we talk about "conceptual cartography," we're talking about fundamentally different ways of
So we're back at Herbert Simon's Artificial Sciences.
Ken
embodying the neighborhoods and networks of paths and concepts. Hopefully this is interesting enough to inspire others to develop new imaginations of liken; certainly it is to us, and we have many alternate reincarnations in mind...
- ben
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