Re: Artificial Intelligence libraries in ADA

["Dmitry A. Kazakov" <mailbox@dmitry-kazakov.de>]

On 2023-01-09 11:49, J-P. Rosen wrote:

> It's worth noting that these libraries may not be as feature-rich or 
> well-maintained as some of the more popular AI libraries available in 
> other programming languages. However, they can still be useful for 
> certain projects or as a way to learn more about AI and machine learning.

I am always perplexed by such questions. A decision tree is not a method 
of machine learning, it is just a data structure.

Depending on the type (crisp, probabilistic, fuzzy) a tree is quite easy 
to implement in Ada. And with any existing component library or else the 
standard Ada library, it is almost trivial.

The crux is building such a tree from the samples so that the tree would 
classify the input, i.e. to learn from the training set. It puzzles me 
what people are expecting. Initial training and maybe reinforcement 
training are highly dependent on the problem at hand. There is no 
universal solution, otherwise it would not be AI. Depending on the 
training method specific tree operations are used such as rotations etc 
which require certain ways of tree representation especially if the 
problem size is massive. All this is very, very specific.

The bottom line. Instead of looking for some miracles, just use Ada, 
which is an excellent language for AI (because AI requires performance 
and is almost impossible to debug).

-- 
Regards,
Dmitry A. Kazakov
http://www.dmitry-kazakov.de