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 ...

We introduce a framework for supporting learning to program in the paradigm of Answer Set Programming (ASP), which is a declarative logic programming formalism. Based on the idea of teaching by asking ...

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 ...

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 ...

Logic programming is a general programming paradigm. This implementation however came about specifically to serve as an algorithmic core for Computer Algebra Systems in Python and for the automated ...

Technical Terms Inductive Logic Programming (ILP): A form of symbolic machine learning that infers generalised logic rules from specific examples and background knowledge.

Research from all publishers Recent advancements in rewriting logic focus on enhancing both the theoretical foundations and the practical applications in programming languages.

Abductive Logic Programming is a framework combining logic programming with abductive reasoning. Learn the full ALP meaning here.