Inductive logic programming

Inductive Logic Programming (ILP) is a method in artificial intelligence that combines logic programming with machine learning. It involves creating general rules or models from specific examples or observations. In the context of general knowledge, ILP allows computers to learn from data by identifying patterns, relationships, and rules that can explain the information they see. For instance, if a program is given several examples of birds, it might learn rules like "birds have feathers" or "birds can fly," enabling it to make conclusions about new cases based on its learned knowledge.