On Saturday, September 11, 2021, at 2:00 AM, John Rose wrote:
> I think the key is in the delegate handling with the object property 
> processing and network structure created off of that. For example, increasing 
> distance pressure between two dynamic objects but keeping them linked by 
> creating a growing graph of objects connected by dynamic member creation. A 
> multigraph node is a C# object with connectors as member object references. 
> Hypergraphs then are inherited objects. Node detection is reflection and 
> subgraph isomorphism mining uses reflective processes.

So.... looking at this component of the self-writing, self-improving proto-AGI 
system, you have this graph of C# objects with context threads executing across 
it, growing and expanding. App context threads, conscious threads, bud 
delegates (stub methods) and hydrate them, then threads reflect and invoke the 
budding delegates. A question is what code gets hydrated into the stubs, what 
source code populates the new members? Basically, code fills memory pressure 
according to syntax rules on self-organizing environmentally reflected sets of 
generated objects. The modelled dynamical systems fill memory pressure. C# code 
forms within the regions and the models expand into allocated memory. Another 
question is what hydrates the hydrators? Intelligence pressure. AI's and AGI's 
generally form within intelligence pressure topology. In the budding member 
code hydration hydrators, intelligence pressure is used to expand the dynamical 
systems models into allocated subgraphs. Intelligence pressure contains memory 
pressure and the sets of dynamical systems agglomerate and subsume into 
subgraph trees of modelled systems. And the same things go on there, hydrated, 
reflected and executed code by sets of conscious threads across the subsumed 
modelled systems budding object members. So, this hypergraphic piece of the 
system writes itself and executes itself all in real-time C# code.

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