ARTIFICIAL INTELLIGENCE GTU MCQ(CH-6 Uncertain Knowledge)

ARTIFICIAL INTELLIGENCE 

[ SUBJECT CODE: 2180703 ]

CH-5 UNCERTAIN KNOWLEDGE 

Topics Covers:-

Procedural Versus Declarative Knowledge, Logic Programming, Forward Versus Backward Reasoning. 

MCQ:-

1.How the entries in the full joint probability distribution can be calculated?
a) Using variables
b) Using information
c) Both Using variables & information
d) None of the mentioned

2.How the bayesian network can be used to answer any query?
a) Full distribution
b) Joint distribution
c) Partial distribution
d) All of the mentioned

 3.To which does the local structure is associated?
a) Hybrid
b) Dependant
c) Linear
d) None of the mentioned

4.Which condition is used to influence a variable directly by all the others?
a) Partially connected
b) Fully connected
c) Local connected
d) None of the mentioned

5.What is the consequence between a node and its predecessors while creating bayesian network?
a) Functionally dependent
b) Dependant
c) Conditionally independent
d) Both Conditionally depend

6.What is the form of Fuzzy logic?
a) Two-valued logic
b) Crisp set logic
c) Many-valued logic
d) Binary set logic

7.Traditional set theory is also known as Crisp Set theory.
a) True
b) False

8.The truth values of traditional set theory is ____________ and that of fuzzy set is __________
a) Either 0 or 1, between 0 & 1
b) Between 0 & 1, either 0 or 1
c) Between 0 & 1, between 0 & 1
d) Either 0 or 1, either 0 or 1

 9.The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______
a) Fuzzy Set
b) Crisp Set
c) Fuzzy & Crisp Set
d) None of the mentioned

10.The values of the set membership is represented by ___________
a) Discrete Set
b) Degree of truth
c) Probabilities
d) Both Degree of truth & Probabilities

11.Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following.
a) AND
b) OR
c) NOT
d) All of the mentioned

12.Fuzzy logic is usually represented as ___________
a) IF-THEN-ELSE rules
b) IF-THEN rules
c) Both IF-THEN-ELSE rules & IF-THEN rules
d) None of the mentioned

13.______________ is/are the way/s to represent uncertainty.
a) Fuzzy Logic
b) Probability
c) Entropy
d) All of the mentioned

14.Which is true for Decision theory?
a) Decision Theory = Probability theory + utility theory
b) Decision Theory = Inference theory + utility theory
c) Decision Theory = Uncertainty + utility theory
d) Decision Theory = Probability theory + preference

15.What enables people to recognize people, animals and inanimate objects reliably?
a) Speech
b) Vision
c) Hear
d) Perception

 16.How many types of recognition are there in artificial intelligence?
a) 1
b) 2
c) 3
d) 4

17.Which are recognized by vision?
a) Objects
b) Activities
c) Motion
d) Both Objects & Activities

18.Which object recognition process is an error-prone process?

a) Bottom-up segmentation
b) Top-down segmentation
c) Both Bottom-up & Top-down segmentation
d) None of the mentioned

 19.Which is the only way to learn about the different kinds of human faces?
a) Perception
b) Speech
c) Learning
d) Hearing

20.What does the bayesian network provides?
a) Complete description of the domain
b) Partial description of the domain
c) Complete description of the problem
d) None of the mentioned

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