# MCQ-Forward Chaining-AI

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Forward Chaining

This set of Artificial Intelligence Multiple Choice Questions & Answers (MCQs) focuses on “Forward
Chaining”.

1. Which condition is used to cease the growth of forward chaining?
a) Atomic sentences
b) Complex sentences
c) No further inference
d) All of the mentioned
Explanation: Forward chain can grow by adding new atomic sentences until no further inference is made.

2. Which closely resembles propositional definite clause?
a) Resolution
b) Inference
c) Conjunction
d) First-order definite clauses
Explanation: Because they are disjunction of literals of which exactly one is positive.

3. What is the condition of variables in first-order literals?
a) Existentially quantified
b) Universally quantified
c) Both Existentially & Universally quantified
d) None of the mentioned
Explanation: First-order literals will accept variables only if they are universally quantified.

4. Which are more suitable normal form to be used with definite clause?
a) Positive literal
b) Negative literal
c) Generalized modus ponens
d) Neutral literal
Explanation: Definite clauses are a suitable normal form for use with generalized modus ponen.

5. Which will be the instance of the class datalog knowledge bases?
a) Variables
b) No function symbols
c) First-order definite clauses
d) None of the mentioned
Explanation: If the knowledge base contains no function symbols means, it is an instance of the class datalog knowledge base.

6. Which knowledge base is called as fixed point?
a) First-order definite clause are similar to propositional forward chaining
b) First-order definite clause are mismatch to propositional forward chaining
c) All of the mentioned
d) None of the mentioned
Explanation: Fixed point reached by forward chaining with first-order definiteclause are similar to those for propositional forward chaining.

7. How to eliminate the redundant rule matching attempts in the forward chaining?
a) Decremental forward chaining
b) Incremental forward chaining
c) Data complexity
d) None of the mentioned
Explanation: We can eliminate the redundant rule matching attempts in the forward chaining by using incremental forward chaining.

8. From where did the new fact inferred on new iteration is derived?
a) Old fact
b) Narrow fact
c) New fact
d) All of the mentioned
Explanation: None.

9. Which will solve the conjuncts of the rule so that the total cost is minimized?
a) Constraint variable
b) Conjunct ordering
c) Data complexity
d) All of the mentioned