Dunno is the most honest answer. I’ve been with TBx since Web Squirrel and I think Hypertext 96 in DC. As things developed, the element that most attracted me is typed links. These had seemed to me, since the late 80s at DARPA, the one thing that could be disruptive
I invested heavily in TBx because of this, with the notion that I could author in TBx and execute what are now called reactive functions externally. In an early project, I was using the environment to instance a strictly defined set of experimental insights, not taking advantage of two key strengths: spatial thinking and emergent structure. This time I am emphasising these, particularly the just start and discover what and how as I go.
My project is to understand signals in the central nervous system. Turns out, this is a dark art that needs new modelling approaches because many signal types have unknown influence on others, and are largely unknown themselves. It is an amazingly complex systems problem with many fractional insights from others.
A possible approach is to model physical elements using conventional hierarchical note ontologies. This is pretty much done in the field, because we can see what exists. So, notes for things, agents. Then to model influence by links. This has an advantage in modelling the brain as it actually works (so far as we can speculate) and also inform an executable model in some exported artefact.
That puts some heavy semantic and dynamic requirements on typed links. As I say, I’m just a year into this, so just starting and looking at what I can do. A strategy would be to take what are actually named links, and correlate names with ‘effect notes’ that have structure and associated code, so that assigning a link notationally associates that effect.
In any meaningful example (starting with PTSD, but growing to olfactory neural regeneration, and how HSV spoofs the immune system) the model has to be reactive: a change in a note may change notes ‘downstream’ in the influence chain. Notes will change state in a fabric.
The primary novelty we are bringing to this enterprise is that neural propagation is something like narrative dynamics.
So no particular request yet, but I am finding that the files I am creating are easy to break. In my past project, agent/action code dragged things down. So if I can modularise and have links span files, that would be great. That possibility is what prompted the question.