Probabilistic logic programming extends logic programming by enabling the representation of uncertain information by means of probability theory. Probabilistic logic programming is at the intersection ...

These achievements are reviewed here. The concrete syntax of the examples is Curry, 27 but the design of the code and most of our considerations about the programs are valid for any other functional ...

This repository holds Logika examples suitable for an undergraduate formal logic introduction course (e.g., K-State's CIS 301: Logical Foundations of Programming) that discusses ...

Within the examples directory, we've provided four separate files that you can utilize to get a taste for the four logic programming packages.

Knowledge representation and reasoning in logic programming constitute a core area of artificial intelligence that formalises how information is symbolically encoded and manipulated.

Adam C. Foltzer introduces Molog, a typed functional logic programming language written in Haskell.