Skip to content
VUBuddy

CS607 Midterm MCQs by VU Topper RM

Artificial Intelligence PDF 1.4 MBUpdated 23 Oct 2026
Midterm past paper CS607 Midterm MCQs by VU Topper RM PDF 1.4 MB
vubuddy.com
Type
Midterm past paper
Course
CS607 Artificial Intelligence
Size
PDF 1.4 MB
Updated
23 Oct 2026
Free download 0 of 3 used today
Download free · 1.4 MB

You get 3 free files a day on the website. Add the Chrome extension for 30 a day.

Unlimited downloads in the Android app Get it free on Google Play

Preview text

Text from pages 2, 3, 4 of 71. Download the file for all 71 pages.

Q1. Vu-Topper RM (1 marks)

______ has the same notion of having something or some attribute from a parent. A. Mutation B. Gene C. Crossover

D. Inheritance Page 77

Q2. Vu-Topper RM (1 marks)

The ability to understand things without explicitly programmed a computer is called?

  1. Fuzzy logic
  2. Deep learning
  3. Machine learning
  4. Artificial Intelligence

Correct answer: Artificial Intelligence

Q3. Vu-Topper RM (1 marks)

“If you find the goal, exit, otherwise repeat DFS to the next lower level”. The statement refers to: A. Depth first search B. Breadth first search

C. Progressive Deepening Page 32

D. None progressive depending

Q4. Vu-Topper RM (1 marks)

_________ is based on deducing new information from logically related known information. A. Inductive reasoning B. Abductive reasoning

C. Deductive reasoning Page 102

D. Common-sense reasoning

Q5. Vu-Topper RM (1 marks)

Hit and trial is a classical approach to solve the ___________ problems easily.

A. Trivial Page 15

B. medium C. complex D. structured

Q6. Vu-Topper RM (1 marks)

The searching technique in which we purely use a hit and trial approach and will check all combinations till one takes it to the exact solution is referred to as ___________.

A. Blind/uninformed Page 23

B. Informed/heuristic C. Path/non-optimal D. Optimal path

Q7. Vu-Topper RM (1 marks)

Genetic algorithm start with the population of randomly generated, attempted solutions to a problem and repeatedly do the following except. A. Keep the best solutions

B. Perform non parallel search Page 77

C. Evaluate each attempted solutions D. Produce next generation using inheritance and mutation.

Q8. Vu-Topper RM (1 marks)

We use graphs to represent problems and their ________. A. Parameters B. Knowledge base

C. Solution spaces Page 22

D. Nodes and vertices

Q9. Vu-Topper RM (1 marks)

____________is the type of knowledge that can be described as the knowledge about knowledge.

A. Metaknowledge Page 90

B. Fuzzy knowledge C. Uncertain knowledge D. Declarative knowledge

Q10. Vu-Topper RM (1 marks)

The ability to learn and recognize things automatically called?

  1. Fuzzy logic
  2. Intelligence Page 6
  3. Problem solving
  4. Defining the problem

Correct answer: Intelligence Page 6

Q11. Vu-Topper RM (1 marks)

Most of the solution spaces for problems can be represented in a ____. A. Tree B. Table

C. Graph Page 21

D. Demo

Q12. Vu-Topper RM (1 marks)

If Alpha implies beta is true and beta in known to be not true. Then alpha could not have been true. This rule refers as:

A. Modus tolens Page 105

B. Modus ponens C. And-Elimination D. And-Introduction

All CS607 files →
CS607 Artificial Intelligence All CS607 handouts, past papers, quizzes and MCQs in one place. Open course page

Get more out of VUBuddy, for free

Android app Free on Google Play
  • Unlimited downloads
  • The explanation behind every MCQ answer
  • Study offline on slow data
Get the Android app
Chrome extension Free on the Chrome Web Store
  • 30 downloads a day instead of 3
  • Sign in and buy Pro Semester here
Add to Chrome

One Pro Semester membership works in both the extension and the app.