Complete implementation of Inductive Logic Programming algorithms with full research accuracy. Includes FOIL (Quinlan 1990) and Progol (Muggleton 1995) with comprehensive configuration. Muggleton, S. ...

Inductive logic programming (ILP) studies the learning of (Prolog) logic programs and other relational knowledge from examples. Most machine learning algorithms are restricted to finite, propositional ...

Abstract: Inductive Logic Programming (ILP) deals with the problem of finding a hypothesis covering given positive examples and excluding negative examples. It is a sub field of machine learning that ...

Popper is an inductive logic programming system. Popper combines logical reasoning with machine learning to induce rules from examples and background knowledge. If you use Popper, please cite the ...

This paper presents recent work using the CHILL parser acquisition system to automate the construction of a natural-language interface for database queries. CHILL treats parser acquisition as the ...

Abstract: The integration of Inductive Logic Programming (ILP) and Bottlenose Dolphin Optimization (BDO) in this research addresses a pressing issue in today's information-saturated landscape: the ...