1. Which of the following is true related to ‘Satisfiable’ property?

a) A statement is satisfiable if there is some interpretation for which it is false

b) A statement is satisfiable if there is some interpretation for which it is true

c) A statement is satisfiable if there is no interpretation for which it is true

d) A statement is satisfiable if there is no interpretation for which it is false

e) None of the mentioned

View Answer

Explanation: ‘Satisfiable’ property is a statement is satisfiable if there is some interpretation for which it is true.

2. Two literals are complementary if

a) They are equal

b) They are identical and of equal sign

c) They are identical but of opposite sign

d) They are unequal but of equal sign

e) They are unequal but of opposite sign

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Explanation: Two literals are complementary if They are identical but of opposite sign.

3. Consider a good system for the representation of knowledge in a particular domain. What property should it possess?

a) Representational Adequacy

b) Inferential Adequacy

c) Inferential Efficiency

d) Acquisitional Efficiency

e) All the mentioned

View Answer

Explanation: Consider a good system for the representation of knowledge in a particular domain. The properties should be Representational Adequacy, Inferential Adequacy, Inferential Efficiency and Acquisitional Efficiency.

4. What is Transposition rule?

a) From P → Q, infer ~Q → P

b) From P → Q, infer Q → ~P

c) From P → Q, infer Q → P

d) From P → Q, infer ~Q → ~P

e) None of the mentioned

View Answer

Explanation: Transposition rule- From P → Q, infer ~Q → ~P.

5. Third component of a planning system is to

a) Detect when a solution has been found

b) Detect when solution will be found

c) Detect whether solution exists or not

d) Detect whether multiple solutions exist

e) Detect a solutionless system

View Answer

Explanation: Third component of a planning system is to detect when a solution has been found.

6. Which of the following is true in Statistical reasoning?

a) The representation is extended to allow some kind of numeric measure of certainty to be associated with each statement

b) The representation is extended to allow ‘TRUE or FALSE’ to be associated with each statement

c) The representation is extended to allow some kind of numeric measure of certainty to be associated common to all statements

d) The representation is extended to allow ‘TRUE or FALSE’ to be associated common to all statements

e) None of the mentioned

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Explanation: Statistical reasoning is the representation is extended to allow some kind of numeric measure of certainty to be associated with each statement.

7. In default logic, we allow inference rules of the form

a) (A : B) / C

b) A / (B : C)

c) A / B

d) A / B : C

e) (A: B) :C

View Answer

Explanation: In default logic, we allow inference rules of the form:(A : B) / C.

8. In Bayes theorem, what is the meant by P(Hi|E)?

a) The probability that hypotheses Hi is true given evidence E

b) The probability that hypotheses Hi is false given evidence E

c) The probability that hypotheses Hi is true given false evidence E

d) The probability that hypotheses Hi is false given false evidence E

e) The probability that hypotheses Hi is true given unexpected evidence E

View Answer

Explanation: In Baye’s theorem, P(Hi|E) is the probability that hypotheses Hi is true given evidence E.

9. Default reasoning is another type of

a) Monotonic reasoning

b) Analogical reasoning

c) Bitonic reasoning

d) Non-monotonic reasoning

e) Closed world assumption

View Answer

Explanation: Default reasoning is another type of non-monotonic reasoning.

10. Generality is the measure of

a) Ease with which the method can be adapted to different domains of application

b) The average time required to construct the target knowledge structures from some specified initial structures

c) A learning system to function with unreliable feedback and with a variety of training examples

d) The overall power of the system

e) Subdividing the system

View Answer

Explanation: Generality is the measure of ease with which the method can be adapted to different domains of application.

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