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Welcome to the Artificial Intelligence MCQs Page

Dive deep into the fascinating world of Artificial Intelligence with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Artificial Intelligence, a crucial aspect of UGC CBSE NET Exam. In this section, you will encounter a diverse range of MCQs that cover various aspects of Artificial Intelligence, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within UGC CBSE NET Exam.

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Check out the MCQs below to embark on an enriching journey through Artificial Intelligence. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of UGC CBSE NET Exam.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Artificial Intelligence. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Artificial Intelligence MCQs | Page 7 of 12

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Q61.
In Propositional Logic, given P and P→Q, we can infer .................

a.

~Q

b.

Q

c.

P∧Q

d.

~P∧Q

Discuss
Answer: (b).Q
Q62.
Reasoning strategies used in expert systems include ...............

a.

Forward chaining, backward chaining and problem reduction

b.

Forward chaining, backward chaining and boundary mutation

c.

Forward chaining, backward chaining and back propagation

d.

Backward chaining, problem reduction and boundary mutation

Discuss
Answer: (a).Forward chaining, backward chaining and problem reduction
Q63.
Language model used in LISP is .................

a.

Functional programming

b.

Logic programming

c.

Object oriented programming

d.

All of the above

Discuss
Answer: (a).Functional programming
Q64.
In constraint satisfaction problem, constraints can be stated as ...................

a.

Arithmatic equations and inequalities that bind the values of variables

b.

Arithmatic equations and inequalities that doesn’t bind any restriction over variables

c.

Arithmatic equations that impose restrictions over variables

d.

Arithmatic equations that discard constraints over the given variables

Discuss
Answer: (a).Arithmatic equations and inequalities that bind the values of variables
Q65.
Consider the two class classification task that consists of the following points :

Class C1: [-1, -1], [-1, 1], [1, -1]
Class C2: [1, 1]

The decision boundary between the two classes C1 and C2 using single perceptron is given by :

a.

x1-x2-0.5=0

b.

-x1+x2-0.5=0

c.

0.5(x1+x2)-1.5=0

d.

x1+x2-0.5=0

Discuss
Answer: (d).x1+x2-0.5=0
Q66.
Consider a standard additive model consisting of rules of the form of

If x is Ai AND y is Bi THEN z is Ci.

Given crisp inputs x=x0, y=y0, the output of the model is :

a.

A

b.

B

c.

C

d.

D

Discuss
Answer: (c).C
Q67.
How many different truth tables of the compound propositions are there that involve the propositions p & q ?

a.

2

b.

4

c.

8

d.

16

Discuss
Answer: (d).16
Q68.
The notation ∃!xp(x) denotes the proposition "there exists a unique x such that P(x) is true".
Give the truth values of the following statements :

I. ∃!xP(x) → ∃xP(x)
II. ∃!x ¬ P(x) → ¬∀xp(x)

a.

Both I and II are true

b.

Both I and II are false

c.

I-false, II-true

d.

I-true, II-false

Discuss
Answer: (a).Both I and II are true
Q69.
Give a compound proposition involving propositions p, q and r that is true when exactly two of p, q and r are true and is false otherwise.

a.

(p∨q∧¬r) ∧ (p∧¬q∧r) ∧ (¬p∧q∧r)

b.

(p∧q∧¬r) ˄ (p∨q∧¬r) ∧ (¬p∧q∧r)

c.

(p∧q∧¬r) ∨ (p∧¬q∧r) ∧ (¬p∧q∧r)

d.

(p∧q∧¬r) ∨ (p∧¬q∧r) ∨ (¬p∧q∧r)

Discuss
Answer: (d).(p∧q∧¬r) ∨ (p∧¬q∧r) ∨ (¬p∧q∧r)
Q70.
The initial basic feasible solution of the following transportion problem is given. Then the minimum cost is

a.

76

b.

78

c.

80

d.

82

Discuss
Answer: (a).76
Page 7 of 12

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