Logic Programming

Abductive logic programming is a type of logic programming that focuses on reasoning to find the best explanations for observations.

Answer Set Programming (ASP) is a declarative programming paradigm for solving complex combinatorial problems.

Backward chaining is a reasoning method in AI that starts with the goal and works backward to find supporting evidence.

Constraint Logic Programming (CLP) combines logic programming with constraint solving to tackle complex problems.

Inductive Logic Programming (ILP) is a machine learning approach that uses logic programming to create models from examples.