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

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

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

View Answer

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) All of 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

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

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

View Answer

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, which of the following inference rules of the form is allowed?

a) (A : B) / C

b) A / (B : C)

c) A / B

d) 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 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

View Answer

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

9. What is another type of Default reasoning?

a) Monotonic reasoning

b) Analogical reasoning

c) Bitonic reasoning

d) Non-monotonic reasoning

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

View Answer

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

**Sanfoundry Global Education & Learning Series – Artificial Intelligence. **

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