Comment by luke_galea
6 hours ago
Super cool. I dig generating rules from within the LLM, but I'm not sure Prolog is the right choice in 2024.
I love Prolog and had the opportunity to use it "in anger" years ago to handle temporal logic in a scheduling app. Great experience, but I've found that more modern rules engines like Drools (anything using the Rete algorithm) are a MUCH better fit for most use cases these days.
If you are into this stuff, you might like the talk I gave on rules engines, prolog and how it led to erlang & elixir. https://www.youtube.com/watch?v=mDnntrhk-8g&t=1s
The choice is limited to the languages that LLMs already know really well. Fwiw, here is GPT's self-rating out of 10:
Python: 9, Prolog: 7, Datalog: 6, Mercury: 6, Curry: 5, Drools: 4
This is not even the full set of what the LLM might like to use. It may also like pyDatalog, SymPy, Haskell, Clingo ASP, ECLiPSe CLP, etc.