Artificial Intelligence Mock Test 7

10%

Question 1 of 10

1. The primitives in probabilistic reasoning are random variables.

True

False

Question 1 of 10

Question 2 of 10

2. There are also other operators, more linguistic in nature, called __________ that can be applied to fuzzy set theory.

Lingual Variable

None of the mentioned

Fuzz Variable

Hedges

Question 2 of 10

Question 3 of 10

3. What kind of interpretation is done by adding context-dependant information?

None of the mentioned

Semantic

Pragmatic

Syntactic

Question 3 of 10

Question 4 of 10

4. The values of the set membership is represented by ___________

Both Degree of truth & Probabilities

Probabilities

Discrete Set

Degree of truth

Question 4 of 10

Question 5 of 10

5. Using logic to represent and reason we can represent knowledge about the world with facts and rules.

True

False

Question 5 of 10

Question 6 of 10

6. The famous spare tire problem or Scheduling classes for bunch of students or Air cargo transport are the best example of ____________

Total order planning

Planning problem

Partial Order planning problem

None of the mentioned

Question 6 of 10

Question 7 of 10

7. Where does the bayes rule can be used?

Answering probabilistic query

Solving queries

Increasing complexity

Decreasing complexity

Question 7 of 10

Question 8 of 10

8. What is the consequence between a node and its predecessors while creating bayesian network?

Conditionally independent

Dependant

Both Conditionally dependant & Dependant

Functionally dependent

Question 8 of 10

Question 9 of 10

9. Which provides a framework for studying object recognition?

None of the mentioned

Supervised learning

Learning

Unsupervised learning

Question 9 of 10

Question 10 of 10

10. Fuzzy logic is usually represented as ___________

IF-THEN rules

IF-THEN-ELSE rules

Both IF-THEN-ELSE rules & IF-THEN rules

None of the mentioned

Question 10 of 10