Retrocausality and AI

Retrocausality is about physical things in the present affecting things in the past. Wow, read it twice. If it sounds to you like breaking the most basic rules of common sense and our most basic intuitions of how things work, you are right, but as weird as it sounds... somehow it makes perfect sense.

Today I found this inspiring article in phys.org about retrocausality. Basically it proves that, if the time symmetry found in all known physic laws is to be accepted as a fundamental law, as it actually is, then causality must go on both directions too, so as unreal it could sound to us, macro-sized humans, it is more than plausibly retrocausality is in the very nature of our world.

Once accepted as a possibility, it solves much of the actual issues with quantum theories: action-at-distance, non-locality, Bell theorem... and it is not more or less plausible than other alternatives, like no-time-symmetry, many-worlds or even the Copenhagen model, so by accepting one "counter-intuitive" possibility, quantum world get less intimidating. I buy it!

Reading it reminded me of one the many variations of the Fractal AI I tried in the past, I wrote about it in the post about the Feynman fractal AI, a model where signal travelled back and forth in time. Here you have a naive drawing of it:

The idea was nice and it was as smart as the "standard" fractal AI, but it could not improve it at all, it was just another way of doing the same stuff, but more complicated, so I finally drooped this idea in the bag of the almost-good ones.

Are maths the real languaje of nature?

I have just had a vision random thought I wanted to share before going to bed: What if mathematics were not the real basement of real world physics? What if the laws of nature are not really physicals laws written in pure maths as we all have naively assumed? Can physics be rethink in a absolutely different way?

I think there exists a way to describe all known physics without using any mathematical formula, a way to describe what a "wave equation" really is without using mathematically defined fields of any kind, just using algorithmics, in fact using just a single, small and compact algorithm.

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?

Pauli's Exclusion Principle

Quantum physic plays a big role in developing an artificial intelligence, more than many could think at first glance.

Back in the days I was developing the Entropic Intelligence, I needed to discard similar ending futures before evaluating the "Future Entropy" of a given option. This was because "entropy" always involves using a given minimum distance so futures that ends closer than this must be considered only one single future. If this remainded you some quantum principle like exclusion, you were quite rigth.

Entropic Intelligence grouping future end points

The entropy

Before going any further on the algorithm itself, we will stop for a moment on the real meaning of those "causal entropic forces" the algorithm is based on.

This is a little technical -but quite interesting- and I will try my best on being easy to follow, but feel free to pass on this and focus on the algortihmic-only articles if you want. You will get as much knowledge of the AI as you will need to apply it, but be warned: when it comes to defining your own system, adjusting the params of the AI and polishing the way you measure how better a new situation is compared to a previous one, the understanding of the underlaying physics will give you an extra insight on the proccess and will help you pin-point the weak points on your implementation.

Disclaimer: I am not a physicist, just an oxidized mathematician and a programmer who loves reading about the subject, so please be benevolent when commenting! I just pretended anyone could have a clear picture of the concept itself and the extreme power under the nice sounding word "entropy".

Entropy

Entropy is a very powerful phisical concept, it is behind almost all laws of the classic phisics. It is quite simple in its definition, but almost imposible to directly use in any real world calculation.