Logic programming is one of the three fundamental paradigms of programming, next to imperative programming and functional programming. Imperative program is based on the assignment operator as the ...
Inductive logic programming (ILP) and machine learning together represent a powerful synthesis of symbolic reasoning and statistical inference. ILP focuses on deriving interpretable logic rules from ...
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 ...
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 ...
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