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Welcome to the Uncertain Knowledge MCQs Page

Dive deep into the fascinating world of Uncertain Knowledge with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Uncertain Knowledge, a crucial aspect of Artificial Intelligence. In this section, you will encounter a diverse range of MCQs that cover various aspects of Uncertain Knowledge, 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 Uncertain Knowledge. 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 Uncertain Knowledge. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Uncertain Knowledge MCQs | Page 1 of 6

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Q1.
Uncertainty arises in the wumpus world because the agent’s sensors give only

a.

Full & Global information

b.

Partial & Global Information

c.

Partial & local Information

d.

Full & local information

Discuss
Answer: (c).Partial & local Information
Q2.
A Hybrid Bayesian network contains

a.

Both discrete and continuous variables

b.

Only Discrete variables

c.

Only Discontinuous variable

d.

Both Discrete and Discontinuous variable

Discuss
Answer: (a).Both discrete and continuous variables
Q3.
How is Fuzzy Logic different from conventional control methods?

a.

IF and THEN Approach

b.

FOR Approach

c.

WHILE Approach

d.

DO Approach

Discuss
Answer: (a).IF and THEN Approach
Q4.
If a hypothesis says it should be positive, but in fact it is negative, we call it

a.

A consistent hypothesis

b.

A false negative hypothesis

c.

A false positive hypothesis

d.

A specialized hypothesis

Discuss
Answer: (c).A false positive hypothesis
Q5.
What is used for probability theory sentences?

a.

Conditional logic

b.

Logic

c.

Extension of propositional logic

d.

None of the mentioned

Discuss
Answer: (c).Extension of propositional logic
Q6.
Where does the dependence of experience is reflected in prior probability sentences?

a.

Syntactic distinction

b.

Semantic distinction

c.

Both a & b

d.

None of the mentioned

Discuss
Answer: (a).Syntactic distinction
Q7.
Where does the degree of belief are applied?

a.

Propositions

b.

Literals

c.

Variables

d.

Statements

Discuss
Answer: (a).Propositions
Q8.
How many formal languages are used for stating propositions?

a.

1

b.

2

c.

3

d.

4

Discuss
Answer: (b).2
Q9.
What is the basic element for a language?

a.

Literal

b.

Variable

c.

Random variable

d.

All of the mentioned

Discuss
Answer: (c).Random variable
Q10.
How many types of random variables are available?

a.

1

b.

2

c.

3

d.

4

Discuss
Answer: (c).3
Page 1 of 6

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