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