Engineering Questions with Answers - Multiple Choice Questions

Artificial Intelligence MCQ – Inductive logic programming

1 - Question

Which combines inductive methods with the power of first-order representations?
a) Inductive programming
b) Logic programming
c) Inductive logic programming
d) Lisp programming

View Answer

Answer: c
Explanation: Inductive logic programming(ILP) combines inductive methods with the power of first-order representations.




2 - Question

How many reasons are available for the popularity of ILP?
a) 1
b) 2
c) 3
d) 4

View Answer

Answer: c
Explanation: The three reasons available for the popularity of ILP are general knowledge, Complete algorithm and hypotheses.




3 - Question

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

View Answer

Answer: b
Explanation: Because the configuration inherently refers to relationships between objects.




4 - Question

Which is an appropriate language for describing the relationships?
a) First-order logic
b) Propositional logic
c) ILP
d) None of the mentioned

View Answer

Answer: a
Explanation: None.




5 - Question

Which produces hypotheses that are easy to read for humans?
a) ILP
b) Artificial intelligence
c) Propositional logic
d) First-order logic

View Answer

Answer: a
Explanation: Because ILP can participate in the scientific cycle of experimentation, So that it can produce flexible structure.




6 - Question

What need to be satisfied in inductive logic programming?
a) Constraint
b) Entailment constraint
c) Both Constraint & Entailment constraint
d) None of the mentioned

View Answer

Answer: b
Explanation: The objective of an ILP is to come up with a set of sentences for the hypothesis such that the entailment constraint is satisfied.




7 - Question

How many literals are available in top-down inductive learning methods?
a) 1
b) 2
c) 3
d) 4

View Answer

Answer: c
Explanation: The three literals are available in top-down inductive learning methods are predicates, equality and inequality and arithmetic literals.




8 - Question

Which inverts a complete resolution strategy?
a) Inverse resolution
b) Resolution
c) Trilogy
d) None of the mentioned

View Answer

Answer: a
Explanation: Because it is a complete algorithm for learning first-order theories.




9 - Question

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

View Answer

Answer: c
Explanation: ILP methods can learn relational knowledge that is not expressible in attribute-based system.




10 - Question

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

View Answer

Answer: a
Explanation: None.

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