# ARTIFICIAL INTELLIGENCE (21AI51) MODULE 3 & 5 QUIZ

## Quiz by Ramya k

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- Q1
In logical agents, knowledge representation is typically achieved using:

Natural language

Formal languages such as propositional or predicate logic

Images and diagrams

None of the above

30s - Q2
Which of the following is a common knowledge representation technique in logical agents?

Genetic algorithms

Semantic networks

Reinforcement learning

Neural networks

30s - Q3
Propositional logic represents knowledge using:

Sentences involving propositions and logical connectives

Symbols and terms

First-order logic

Rules and inference mechanisms

30s - Q4
In the Wumpus World environment, what does the Wumpus represent?

A source of foul smell

A pit that can be fallen into

A location where gold can be found

A dangerous creature that moves around the grid

30s - Q5
What action can an agent take in the Wumpus World environment to kill the Wumpus?

Shoot an arrow

Climb out of the cave

Dig a pit

Light a torch

30s - Q6
Which of the following statements best describes model checking?

Model checking is a method for converting logical formulas into propositional logic.

Model checking involves checking the syntax of logical formulas.

Model checking verifies if a given model satisfies a given logical formula.

Model checking involves generating random models to test logical formulas.

30s - Q7
What is the time complexity of the truth table enumeration algorithm?

O(2^n)

O(log n)

O(n)

O(n^2)

30s - Q8
What is the primary purpose of the truth table enumeration algorithm?

To optimize logical reasoning algorithms

To check the consistency of logical formulas

To convert logical formulas into propositional logic

To generate all possible combinations of truth values for a given set of propositional variables

30s - Q9
Which of the following best describes an agent based on propositional model checking?

An agent that performs logical reasoning using first-order logic

An agent that uses propositional logic to represent knowledge and reasoning

An agent that converts logical formulas into propositional logic

An agent that generates random models to test logical formulas

30s - Q10
What is a primary advantage of using agents based on propositional model checking?

They are more computationally efficient than other logical reasoning techniques

They provide complete understanding of the domain

They require less computational resources

They can handle complex logical formulas and large models efficiently

30s - Q11
What is the primary difference between unfair and illegal discrimination?

Unfair discrimination always results in legal consequences, while illegal discrimination does not.

Unfair discrimination is subjective, while illegal discrimination is objective.

Unfair discrimination is based on personal biases, while illegal discrimination is based on factual evidence.

Unfair discrimination is unethical but not necessarily illegal, while illegal discrimination violates anti-discrimination laws.

30s - Q12
What does the concept of privacy primarily aim to protect?

Economic interests

Freedom of speech

Individual autonomy and control over personal information

Personal property

30s - Q13
Which of the following is an example of a privacy violation?

Unauthorized access to someone's email account

Participating in a public protest

Giving consent for medical treatment

Sharing a public social media post

30s - Q14
What is the purpose of privacy laws and regulations?

To ensure transparency in government operations

To restrict access to public information

To promote corporate profits

To protect individuals' rights and freedoms regarding their personal information

30s - Q15
What is surveillance capitalism primarily concerned with?

Ensuring government transparency

Maximizing profits through the collection and analysis of personal data

Protecting individuals' privacy rights

Promoting freedom of expression

30s