I am not seeking a static theory of everything, I am seeking to understand evolution of physical law, and how it's coded and related to the microstructure of matter, and how thus further encodes the physical interactions we know.
So I agree that such a static TOE won't exists; that doesn't mean I can't acquire and excellent but still of course incomplete knowledge of how this evolution of theory works. This is my quest.
This does work, but not for too complex system, and the reason is clear. But there is not cut limit, there is a sliding scale from strong predictivity to complete undecidability. This scale is an important scale to consider in the abstraction.
It's known from single cell and bacterial systems that understanding of the evolutionary mechanism can really provide predictions that deterministic models can not. Due to computational complexity, as well as sensitivity of initial conditions (deterministic chaos) it's de facto impossible to write down chemical dynamics equations from the chemistry in a cell and predict how it's gene expressison and regulation evolve as dynamical entitires. However, just defining a state space based on known genes, and chemicaal pathways, without detailed knowneldge of the actual regulatory mechanisms, one can try to optimise certain life functions such as growht rateetc and find a prediction. I recall reading an interesting paper long time ago when I studied yeast cells where this was confirmed in an experiment with cultures of I think E coli bacteria. One observer transient disagreements, but once the culture equilibrated in the new environment, the prediction based on pathway ang gene expression expectations was really close. The ideas is that the overall goal is used as a shortcut, then the assumption is that "nature will find a way", and after equilibratrion it did.
Similarly the way to understand and predict humans to the limited extent possible, it's for the same reason impossible to set up the differential chemical euqations of a human, instead we know the action space of a human, we assume rationality and then we get close. We don't get dead on, but fortunately beeind dead on is not necessary at all.
I am seeking to apply similar reasoning to physics. Once you have a "DNA" of physical or it's equivalent, predictions can be made in the same manner. But even this DNA is evolving, just like in biology, so each level has it's own predictive scheme. The only think that's not possible is to cover all scales. We happened to live at a certain scale, and it's around this we pose questions and learn about our environment. That's good enough for me.
/Fredrik