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 ...

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 ...

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 ...

Learn what logic programming is, how it works, and why it matters. Explore some popular logic programming languages and how to get started with them.

Logic programming languages come in many forms, each with its own syntax, semantics, and features. Prolog, for example, is one of the oldest and most widely used languages.

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

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

Picat is a new logic-based programming language. In many ways, Picat is similar to Prolog, especially B-Prolog, but it has functions in addition to predicates, pattern-matching instead of unification ...

Research in the PPLV group spans theory and practice, including logic, semantics, language design, program analysis, systems verification and systems modelling.