The correct answer to this question would be “Inductive Logic Programming (ILP).”
Inductive Logic Programming is a subfield of machine learning that combines inductive methods with the expressive power of first-order logic representations. It aims to learn logical representations or rules from examples, typically in the form of observed data or examples, and background knowledge expressed in first-order logic. This approach allows for the discovery of general patterns or rules that can then be applied to make predictions or decisions on new data.