AI UNIT-3

UNIT-3

Objective Questions :

  

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

a) True
b) False   

   

2. A Hybrid Bayesian network contains

a) both discrete and continuous variables

b) Only Discrete variables

c) Only Discontinuous variable

d) Both Discrete and Discontinuous variable.

3. How is Fuzzy Logic different from conventional control methods?

a) IF and THEN Approach

b) FOR Approach

c) WHILE Approach

d) DO Approach.

4. If a hypothesis says it should be positive, but in fact it is negative, we call it

a) A consistent hypothesis

b) A false negative hypothesis

c) A false positive hypothesis

d) A specialized hypothesis

5. 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

6. A constructive approach in which no commitment is made unless it is necessary to do so, is

a) Least commitment approach

b) Most commitment approach

c) Nonlinear planning

d) Opportunistic planning

7. How many issues are available in describing degree of belief?

a) 1

b) 2

c) 3

d) 4

8. What is used for probability theory sentences?

a) Conditional logic

b) Logic

c) Extension of propositional logic

d) None of the mentioned

9.  Where does the dependence of experience is reflected in prior probability sentences?

a) Syntactic distinction

b) Semantic distinction

c) Both Syntactic & Semantic distinction

d) None of the mentioned

10.Where does the degree of belief are applied?

a) Propositions

b) Literals

c) Variables

d) Statements

11. Where does the bayes rule can be used?

a) Solving queries

b) Increasing complexity

c) Decreasing complexity

d) Answering probabilistic query

12. 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

13. 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

14.  How the compactness of the bayesian network can be described?

a) Locally structured

b) Fully structured

c) Partial structure

d) All of the mentioned

15.  Fuzzy logic is a form of

a) Two-valued logic

b) Crisp set logic

c) Many-valued logic

d) Binary set logic

16. Traditional set theory is also known as Crisp Set theory.

a) True

b) False

17. 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

18. 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

19. Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following.

a) AND

b) OR

c) NOT

d) All of the mentioned

20. 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