Meta: I greatly appreciate that you took the time to contextualize the earlier relevant posts within this one.
Do you already have a plan of attack for the experimental testing? By this I mean using X application, or Y programming language, with Z amount of compute. If not, I would like to submit a request that you post that information when the time comes.
Recalling the Macroscopic Prediction paper by Jaynes, am I correct in interpreting this as being conceptually replacing the microphenomena/macrophenomena choices with near/far abstractions?
Following in this vein, does the phase-space trick seem to generalize to the abstractions level? By this I mean something like replacing
predict the behavior that can happen in the greatest number of ways, while agreeing with whatever information you have
with
choose the low-dimensional summaries which have been constrained in the greatest number of ways, while accurately summarizing the far-away information
Do already have a plan of attack for the experimental testing? By this I mean using X application, or Y programming language, with Z amount of compute.
I will post that information when the time comes. Though probably not very long before the time comes; writing up that sort of code takes a lot less time than all this theory.
Recalling the Macroscopic Prediction paper by Jaynes, am I correct in interpreting this as being conceptually replacing the microphenomena/macrophenomena choices with near/far abstractions?
Yes.
Following in this vein, does the phase-space trick seem to generalize to the abstractions level?
I had not thought of that, but it sounds like a great idea. I’ll have to chew on it some more.
Meta: I greatly appreciate that you took the time to contextualize the earlier relevant posts within this one.
Do you already have a plan of attack for the experimental testing? By this I mean using X application, or Y programming language, with Z amount of compute. If not, I would like to submit a request that you post that information when the time comes.
Recalling the Macroscopic Prediction paper by Jaynes, am I correct in interpreting this as being conceptually replacing the microphenomena/macrophenomena choices with near/far abstractions?
Following in this vein, does the phase-space trick seem to generalize to the abstractions level? By this I mean something like replacing
predict the behavior that can happen in the greatest number of ways, while agreeing with whatever information you have
with
choose the low-dimensional summaries which have been constrained in the greatest number of ways, while accurately summarizing the far-away information
I will post that information when the time comes. Though probably not very long before the time comes; writing up that sort of code takes a lot less time than all this theory.
Yes.
I had not thought of that, but it sounds like a great idea. I’ll have to chew on it some more.