I want to learn more about the internals of Prolog and understand how this works.
I know how to use it. But not how it works internally. What are the names of the algorithms and concepts used in Prolog?
Probably it builds some kind of tree structure or directed object graph, and then upon queries it traveres that graph with a sophisticated algorithm. A Depth First Search maybe. There might be some source code around but it would be great to read about it from a high level perspective first.
I'm really new to AI and understanding Prolog seems to be a great way to start, imho. My idea is to try to rebuild something similar and skipping the parser part completely. I need to know the directions in which I have to do my research efforts.
AI is a wide field, Prolog only touches symbolic AI. As for Prolog, the inner workings are too complex to explain here, but googling will give you plenty of resources. E.g. http://www.amzi.com/articles/prolog_under_the_hood.htm .
Check also Wikipedia articles to learn about the other areas of AI.
What are the names of the algorithms and concepts used in Prolog?
- Logic programming
- Depth-first, backtracking search
- Unification
See Sterling & Shapiro, The Art of Prolog (MIT Press) for the theory behind Prolog.
Probably it builds some kind of tree structure or directed object graph, and then upon queries it traveres that graph with a sophisticated algorithm. A Depth First Search maybe.
It doesn't build the graph explicitly, that wouldn't even be possible with infinite search spaces. Check out the first chapters of Russell & Norvig for the concept of state-space search. Yes, it does depth-first search with backtracking, but no, that isn't very sophisticated. It's just very convenient and programming alternative search strategies isn't terribly hard in Prolog.
understanding Prolog seems to be a great way to start, imho.
Depends on what you want to do, but knowing Prolog certainly doesn't hurt. It's a very different way of looking at programming. Knowing Prolog helped me understand functional programming very quickly.
My idea is to try to rebuild something similar and skipping the parser part completely
You mean skipping the Prolog syntax? If you happen to be familiar with Scheme or Lisp, then check out section 4.4 of Abelson & Sussman where they explain how to implement a logic programming variant of Scheme, in Scheme.
You might also want to read about the Warren Abstract Machine
typically, prolog code is translated to WAM instructions and then executed more efficiently.
The ISO core standard for Prolog also contains an execution model. The execution model is of interest since it gives a good model of control constructs such as cut !/0, if-then-else (->)/2, catch/3 and throw/1. It also explains how to conformantly deal with naked variables.
The presentation in the ISO core standard is not that bad. Each control construct is described in a form of a prose use case with a reference to an abstract Prolog machine consisting of a stack, etc.. Then there are pictures that show the stack before and after execution of the control construct.
The cheapest source is ANSI:
http://webstore.ansi.org/RecordDetail.aspx?sku=INCITS%2FISO%2FIEC+13211-1-1995+%28R2007%29
The book by Sterling and Shapiro, mentioned by larsmans, actually contains an execution model of Prolog. It's quite nice and explains clearly "how Prolog works". And it's an excellent book!
There are also other sources you could try. Most notably, some Lisp books build pedagogically-oriented Prolog interpreters:
- On Lisp by paul Graham (in Common Lisp, using -- and perhaps abusing -- macros)
- Paradigms of Artificial Intelligence Programming by Peter Norvig (in Common Lisp)
- Structure and Interpretation of Computer Programs by Abelson and Sussman (in Scheme).
Of these, the last one is the clearest (in my humble opinion). However, you'd need to learn some Lisp (either Common Lisp or Scheme) to understand those.
Prolog uses a subset of first order predicate logic, called Horn logic. The algorithm used to derive answers is called SLD resolution.