berardino

It is truly very useful not only for art history but also for the history of colonial rule

Thanks! I don't have specific expertise in this area, but I can share what I've read. The Tower of Hanoi is indeed used in neuropsychology to study executive functions. There's also the Tower of London (Shallice, 1982), which measures planning, though research shows they measure different cognitive processes.

My game adds a dynamic tree structure that auto-balances via AVL logic, so players have to plan not just moves but the structure itself. I wonder if that could be useful as a more flexible tool for studying planning and adaptability.

Not my field, but I'd be very curious to hear from anyone who might find it relevant!

During the years I worked as a C programmer, I was always fascinated by AVL trees. I remember the first time I debugged the balancing of an AVL tree: it felt like I was looking at something alive. This was also thanks to the Borland C compiler I was using. That experience inspired the game I created. It combines the Tower of Hanoi with the logic of AVL trees. The ability to modify the tree’s structure significantly reduces the number of moves needed to reach the goal.

The game is completely free and playable directly in your brouser (No download required).

I hope it will be useful to students studying data structures and recursive functions.

To implement the game, I used Figma AI, primarily for the graphics.

The experience with MYCIN, one of the first expert systems developed at Stanford University in the 1970s, should remind us that a physician does not make a diagnosis based on a mechanistic analysis of test data, but rather using heuristics derived from his experience that cannot be formalized in any way.

We have returned to nineteenth-century mechanistic thinking

One question connects these two articles: “A 10-year-old physics puzzle solved thanks to AI: Nobel laureate Giorgio Parisi’s breakthrough alongside Claude,” “GPT-5 helped an immunologist solve a 3-year-old mystery”. Who really found the solution: the one who chooses the path, or the one who goes the extra mile?

Regarding your statement: “In that world, machine visits aren't necessarily noise; they're another distribution channel.” The problem is the ongoing transfer of decision-making authority to automated tools. This will reinforce the illusion that we are making decisions based on human knowledge rather than on the knowledge of automated tools.

A very interesting field of application could be in the study of autoimmune diseases. For this reason, I wanted to know about the expression of MHC proteins.