(Note: my roadmap originally had planned a post on Gödel’s Incompleteness Theorems, but that’s not going to happen. It’s a fascinating topic with some interesting applications, but it’s even more mathematically dense than a lot of my other stuff, and isn’t strictly necessary, so I’m skipping it, for now. Maybe I’ll come back to it later. Read the wiki page if you’re interested.)
This post marks the final cherry on top of this whole series on systems theory, and the part where we finally get to make practical philosophical use of the whole abstract structure we’ve been building up. I’ve telegraphed the whole thing in the roadmap, and the thesis is in the title, so let’s just dive right in: reality is a system. It’s layed out almost already right there in axioms #3 and #5.
We can also tie this in with our definitions of truth and knowledge. If the absolute underlying reality of what is (forming absolute truth) is a system, then the relative truth that we regularly refer to as “truth” is just a set of abstractions layered on top of the underlying reality.
Dogs and cats and chairs and tables are just abstractions on top of molecules. Molecules are just an abstraction on top of atoms. Atoms, on top of protons, electrons, and neutrons. Protons and neutrons on top of quarks and other fundamental particles I don’t understand. The absolute true underlying system is, in this view, not possible to know. In fact, since we as persons are inside the system (we can in fact be seen as subsystems of it), then we literally cannot model the entire thing with complete fidelity. It is fundamentally impossible. The best we can do is to model an abstraction within the bounds of the entropy of the system. This is in some distant sense a restatement of the circular trap.