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Welcome to the Knowledge and Reasoning MCQs Page

Dive deep into the fascinating world of Knowledge and Reasoning with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Knowledge and Reasoning, a crucial aspect of Artificial Intelligence. In this section, you will encounter a diverse range of MCQs that cover various aspects of Knowledge and Reasoning, 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 Artificial Intelligence.

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

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

Knowledge and Reasoning MCQs | Page 4 of 9

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Q31.
The CAI (Computer-Assisted Instruction) technique based on programmed instruction is:

a.

frame-based CAI

b.

generative CAI

c.

problem-solving CAI

d.

intelligent CAI

Discuss
Answer: (a).frame-based CAI
Q32.
Computers normally solve problem by breaking them down into a series of yes-or-no decisions represented by 1s and 0s. What is the name of the logic that allows computers to assign numerical values that fail somewhere between 0 and 1?

a.

Human logic

b.

Fuzzy logic

c.

Boolean logic

d.

Operational logic

Discuss
Answer: (b).Fuzzy logic
Q33.
The component of an ICAI (Intelligent Computer-Asslsted Instruction) presenting information to the student is the:

a.

student model

b.

problem-solving expertise

c.

tutoring module

d.

All of the above

Discuss
Answer: (c).tutoring module
Q34.
The Newell and Simon program that proved theorems of Principia Mathematica was:

a.

Elementary Perceiver

b.

General Problem Solver

c.

Logic Theorist

d.

Boolean Algebra

Discuss
Answer: (c).Logic Theorist
Q35.
Shaping teaching techniques to fit the learning patterns of individual students is the goal of:

a.

decision support

b.

automatic programming

c.

intelligent computer-assisted instruction

d.

expert systems

Discuss
Answer: (c).intelligent computer-assisted instruction
Q36.
What is Fuzzy Logic?

a.

a method of reasoning that resembles human reasoning

b.

a method of question that resembles human answer

c.

a method of giving answer that resembles human answer.

d.

None of the Above

Discuss
Answer: (a).a method of reasoning that resembles human reasoning
Q37.
How many output Fuzzy Logic produce?

a.

2

b.

3

c.

4

d.

5

Discuss
Answer: (a).2
Q38.
Fuzzy Logic can be implemented in?

a.

Hardware

b.

software

c.

both a and b

d.

None of the Above

Discuss
Answer: (c).both a and b
Q39.
The truth values of traditional set theory is ____________ and that of fuzzy set is __________

a.

Either 0 or 1, between 0 & 1

b.

Between 0 & 1, either 0 or 1

c.

Between 0 & 1, between 0 & 1

d.

Either 0 or 1, either 0 or 1

Discuss
Answer: (a).Either 0 or 1, between 0 & 1
Q40.
How many main parts are there in Fuzzy Logic Systems Architecture?

a.

3

b.

4

c.

5

d.

6

Discuss
Answer: (b).4
Page 4 of 9

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