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Artificial Intelligence MCQs

Artificial Intelligence (AI) is one of the most demanding fields of computer science. Artificial Intelligence (AI) demonstrates intelligence by machines instead of animals’ natural intelligence, including humans.

AI applications include a large spectrum from web search engines and understanding human speech to self-driving cars. The main goal of AI is to design machines with automated decision-making which can decide like human beings based on certain factors.

MCQs on Artificial Intelligence

Solve MCQs for Artificial Intelligence (AI) to prepare better for your upcoming GATE Exam. If you wish to learn more about artificial intelligence in computer science, you can check more notes, mock tests, and previous years’ question papers of GATE. Gauge the pattern of artificial intelligence MCQ questions, try solving the ones that we have compiled below for your practice:

Artificial Intelligence MCQ Questions

1. The creator of ________ called it the “imitation game” initially.

a. The Logic Theorist

b. The Turing Test

c. Cybernetics


Answer: (b) The Turing Test

2. When someone programs a robot by moving it physically through the trajectory that they want it to follow is known as:

a. robot vision control

b. contact sensing control

c. pick-and-place control

d. continuous-path control

Answer: (d) continuous-path control

3. The function that assigns the symbol a to b in LISP is:

a. (setq b ‘a’)

b. (setq b = ‘a’)

c. (setq b a)

d. (set b = ‘a’)

Answer: (a) (setq b ‘a’)

4. The computer program simulating the thought process of humans is known as:

a. Expert reason

b. Personal information

c. Expert system

d. Human logic

Answer: (c) Expert System

5. Natural language processing has two subfields, namely:

a. algorithmic and heuristic

b. time and motion

c. understanding and generation

d. symbolic and numeric

Answer: (c) understanding and generation

6. The bidirectional feedback loop helps link the computer modelling with:

a. cognitive science

b. human intelligence

c. heuristic processing

d. artificial science

Answer: (a) cognitive science

7. The technique of computer vision that relies on the image templates is known as:

a. model-based vision

b. binocular vision

c. robot vision

d. edge detection

Answer: (a) model-based vision

8. Out of these schools, which one was NOT one of the early leaders in the field of AI research?

a. Stanford University

b. Massachusetts Institute of Technology

c. Harvard University

d. Dartmouth University

Answer: (c) Harvard University

9. For a speech understanding system to achieve widespread acceptance in the field of office automation, they must have:

a. isolated word recognition

b. speaker dependence

c. speaker independence

d. All of the above

Answer: (c) speaker independence

10. A blind search will be acceptable when this situation occurs:

a. small search space

b. complex game

c. real-life situation

d. All of the above

Answer: (a) small search space

11. The following function In LISP would return:

(minusp (-20 4 8 8 1)

a. F

b. T

c. -20

d. NIL

Answer: (b) T

12. Daniel Bobrow developed an AI system to read algebra word problems and solve them, known as:





Answer: (c) STUDENT

13. The elementary units of a language that are smaller than a word are known as:

a. syllables

b. phonemes

c. allophones

d. All of the above

Answer: (d) All of the above

14. The atom ____________ stands for “true” in LISP.

a. y

b. time

c. ml

d. t

Answer: (d) t

15. What was the name of the very first AI programming language?


b. IPL



Answer: (b) IPL

16. ___________ or modelling is the method using which we program a computer to exhibit human intelligence.

a. Simulation

b. Psychic Amelioration

c. Duplication

d. Cognitization

Answer: (a) Simulation

17. The Computer-Assisted Instruction (CAI) technique based on the programmed instruction is:

a. problem-solving CAI

b. generative CAI

c. intelligent CAI

d. frame-based CAI

Answer: (d) frame-based CAI

18. The other name for a robot’s “arm” is its:

a. Manipulator

b. End Effector

c. Servomechanism

d. Actuator

Answer: (a) Manipulator

19. KEE is a product of:

a. Tech knowledge

b. Texas Instruments

c. IntelliCorp

d. Teknowledge

Answer: (c) IntelliCorp

20. The _______________ technique is currently investigated as the approach that helps in automatic programming.

a. specification by example

b. generative CAI

c. non-hierarchical planning

d. All of the above

Answer: (a) specification by example

21. A Newell and Simon program proved the theorems of Principia Mathematica. It was:

a. Logic Theorist

b. Elementary Perceiver

c. Boolean Algebra

d. General Problem Solver

Answer: (a) Logic Theorist

22. We can characterise the IBM 3090, cray X-MP, and connection machine as:





Answer: (d) SIMD

23. We can categorise the BBN Butterfly, Cosmic Cube, Cedar, and Hypercube machine as:





Answer: (c) MIMD

24. The Automatic Reasoning Tool (ART) can be used on:

a. microcomputers

b. LISP machines

c. personal computers

d. All of the above

Answer: (b) LISP machines

25. One of the definitions of Artificial Intelligence focuses on various problem-solving methods used in processing:

a. touch

b. algorithms

c. smell

d. symbols

Answer: (d) symbols

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