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
d. LISP
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:
a. BACON
b. SHRDLU
c. STUDENT
d. SIMD
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?
a. LISP
b. IPL
c. FORTRAN
d. BASIC
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:
a. MISD
b. SISD
c. MIMD
d. SIMD
Answer: (d) SIMD
23. We can categorise the BBN Butterfly, Cosmic Cube, Cedar, and Hypercube machine as:
a. MISD
b. SIMD
c. MIMD
d. SISD
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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