This set of Artificial Intelligence Multiple Choice Questions & Answers (MCQs) focuses on “Inductive logic programming”.
1. Which combines inductive methods with the power of first-order representations?
a) Inductive programming
b) Logic programming
c) Inductive logic programming
d) Lisp programming
2. How many reasons are available for the popularity of ILP?
a) 1
b) 2
c) 3
d) 4
3. Which cannot be represented by a set of attributes?
a) Program
b) Three-dimensional configuration of a protein molecule
c) Agents
d) None of the mentioned
4. Which is an appropriate language for describing the relationships?
a) First-order logic
b) Propositional logic
c) ILP
d) None of the mentioned
5. Which produces hypotheses that are easy to read for humans?
a) ILP
b) Artificial intelligence
c) Propositional logic
d) First-order logic
6. What need to be satisfied in inductive logic programming?
a) Constraint
b) Entailment constraint
c) Both Constraint & Entailment constraint
d) None of the mentioned
7. How many literals are available in top-down inductive learning methods?
a) 1
b) 2
c) 3
d) 4
8. Which inverts a complete resolution strategy?
a) Inverse resolution
b) Resolution
c) Trilogy
d) None of the mentioned
9. Which method can’t be used for expressing relational knowledge?
a) Literal system
b) Variable-based system
c) Attribute-based system
d) None of the mentioned
10. Which approach is used for refining a very general rule through ILP?
a) Top-down approach
b) Bottom-up approach
c) Both Top-down & Bottom-up approach
d) None of the mentioned