Using Feynman Integrals

Some posts ago I commented on the strange need of using a "Pauli's Exclusion Principle" on the Fractal AI in order to make it work as spected.

It may sound strange that quantum physics play a role on building a fractal AI, but actually it is the real base for such an algortihm.

Today I want to comment on my very last idea: using real Feynman integrals on the Fractal AI.

First try to draw the fractal

Passing the "Asteroids Test"

Fractal AI is quite mature by now, it has reached a quite big milestone, being the first "finished" fractal AI I have been able to produce to date. It is not still "completed" in a general sense, but with some prefixed limitations, it is finished.


I stresssed it with 30 asteroids using only 100 futures (in previous tests I needed 300 or 500 futures to get something like this) and it was no problem for the rocket at all. Then I tried 40 asteroids. Again no problem but more stress.

50 was too much for it. The sky was full of asteroids, I didn't spect it to survive at first, but it did. I did manage to fly away the shower, but survivided! It is a new record.

Long Term Proyects

Once the Fractal AI is formally finished (regardless of how many improvements I could still implement on it) it is time to mention some of my wildest proyects for the long term.

Long fractal shots

All of them are long shots, things I feel that can be done using fractals in the exact same way I am applying in the Fractal AI. Some of them are already "half done" but will need a deep rethinking, others are just ideas in an very early stage of maturity.

1) Fractal growing of neuronal networks
This one is quite interesting as it could automate the proccess of building the network itself (adding neurons and connectons fractally as needed, no more need to choose how many layers to use) at the same time it learns from the examples it is exposed to. I have some sketches of it, but it is istill not mature enough to start coding. I call it "Fractal Deep Learning".

A finished version of Fractal AI

Today I will show you what I consider to be the first finished version of the "Fract Emotional Artificial Intelligence".

The Fractal AI is now parameter less, meaning all those params I needed to set manually, like the "evapore ratio", are now governed by the AI.

Nice fractal thinking paths.

Fractal AI: An Almost Perfect Lap!

The main problem with fractals is that they tend to grow exponentially, so keeping this growth under control is a difficult task in many aspects.

Some posts ago I commented about the need of combining Fractal AI with some kind of "Exclusion Principle", meaning it that the fractal needed to avoid high density zones in order to work optimally.

Today I had some spare time to work on this and now I am presenting you the first videos of this exclusion at work. It did improve AI quite a lot! Just see the video and judge:

3D Fractal QED

This time I want to show you the Quantum Electrodynamic "fractal simulator" on a 3D environment, so you can compare it with the previous 2D simulation video.

Again, the proton is not a real proton. If it were, it would scape from the trap inmediately, but I didn't want this to happend, so i keept it on screen by changing it a little.

Quantum fractal simulator

I am NOT a quantum physicist, not even a decent amateur, but I have a slight idea of how Quantum Electrodynamics works -thanks to Feynman lectures and books- so I was tempted to try this out: can I simulate QED using only fractals?