[amp_mcq option1=”Inductive programming” option2=”Logic programming” option3=”Inductive logic programming” option4=”Lisp programming” correct=”option3″]
The correct answer is C. Inductive logic programming.
Inductive logic programming (ILP) is a machine learning technique that combines inductive methods with the power of first-order representations. ILP systems are typically used to learn rules from examples, where the examples are represented in a first-order logic language.
Inductive programming is a programming paradigm that is based on the idea of induction. Inductive programs are written in a way that allows them to be learned from examples.
Logic programming is a programming paradigm that is based on the idea of logic. Logic programs are written in a way that allows them to be reasoned about using logical rules.
Lisp programming is a programming paradigm that is based on the idea of lists. Lisp programs are written in a way that allows them to manipulate lists of data.
Inductive logic programming is a more powerful technique than inductive programming or logic programming because it combines the strengths of both approaches. ILP systems can learn from examples, but they can also reason about those examples using logical rules. This makes ILP systems more powerful than inductive programming systems, which can only learn from examples, and more powerful than logic programming systems, which can only reason about examples.