This is based (and extended) on the findings and data from our first physics paper (preprint): S. V. Chekanov, H. Kjellerstrand: "Discovering the underlying analytic structure within Standard Model constants using artificial intelligence"(arxiv.org/abs/2507.00225 )

5/5

but instead follow a hierarchical structure within a high-dimensional functional space. The found analytic solution depends on only two input parameters, representing the simplest mathematical model that could provide a foundation for developing a future theoretical framework to address the SM.
4/n

We outline the core principles of our method and identify the simplest analytic relationships among SM parameters. Our results suggest that the SM parameters associated with quark and boson masses are not randomly distributed,
3/n

Abstract: This paper presents an approach to reducing the number of fundamental parameters in the Standard Model (SM) using genetic programming, a machine learning technique based on evolutionary algorithms.
2/n

For some examples of how to use the bv module:
* Section "4 Day 17: Chronospatial Computer" of our ICLP'25 paper Picat Through the Lens of Advent of Code (arxiv.org/abs/2507.11731)

* My examples at hakank.org/picat/#bv
GitHub commit of these models: github.com/hakank/hakan...

It is a Python program but since it's a beta (about v0.000006), I'll not publish it.

If you're interested, please DM (or mail me).

Just for fun, I also asked Google Gemini to do a Deep Research on this problem: docs.google.com/document/d/1...)
and NotebookLM Deep Dive podcast: notebooklm.google.com/notebook/280...

Note that the paper also discusses variants to this puzzle.

And I did another Research with Google AI Studio but restricted it to be only on Einstellung Effect. Here's the generated document: docs.google.com/document/d/1...
And then using Google's NotebookLM to create a neat 2 person discussion about the document: notebooklm.google.com/notebook/ef8...

Unfortunately. Pop-11 is a fun language and the Poplog distribution contains a huge number of examples of GOFAI (Good Old Fashion AI) that nobody seems to care about nowadays...

Here's my Poplog page:
www.hakank.org/poplog/

Nope, I learned about it some weeks ago so it's on my TODO list. It does seems fun.
One must love a language that has a built-in function for shortest path (www.uiua.org/docs/path). When I browsed the site some weeks ago it had astar but that's now deprecated (in favor of path).
Are you in APL/J/K?

Thus there are now two "CP" in my life. The real (and for me the first): Constraint Programming, and now Competitive Programming.
I hope that will not confuse neither you nor me.

So today I have toggled the autocomplete off. What a mental relief!

And now it should work with hakank.org/picat as well