An Introduction to Artificial Intelligence | Week 1

Session: JAN-APR 2024

Course name: An Introduction to Artificial Intelligence

Course Link: Click Here

For answers or latest updates join our telegram channel: Click here to join

These are An Introduction to Artificial Intelligence Answers Week 1


Q1. Fill in the blanks: AlphaGo is an AI system that defeated Lee Sedol in the game of Go in the year , utilizing __ .
2011, Monte Carlo Tree Search
2016, Deep Neural Networks
2012, Probabilistic Graphical Models
2014, Expert Systems and Logic

Answer: 2016, Deep Neural Networks


Q2. Which of the following is not true about AlexNet?
It won the ImageNet challenge in 2012
It is a Deep Neural Network built for Object Recognition
It was built by researchers in the United States
It was trained utilizing GPUs

Answer: It was built by researchers in the United States


Q3. Which of the following is the task of the DARPA grand challenge?
Object Recognition
Logical Game Playing
Automatic Machine Translation
Autonomous Driving

Answer: Autonomous Driving


For answers or latest updates join our telegram channel: Click here to join

These are An Introduction to Artificial Intelligence Answers Week 1


Q4. The Turing test considers which of the following traits as evidence of machine intelligence?
Acting humanly
Thinking humanly
Acting rationally
Thinking rationally

Answer: Acting humanly


Q5. Which of the following tasks are difficult to be modelled by Logic and why?
Puzzle Solving (eg, solving n x n Sudoku boards) because they are generally NP-Hard
Expert systems such as those for medical diagnosis because it is difficult to write rules to mimic humans
Perceptual tasks such as Object detection because these are typically learnt by experience
Game playing such as Ludo/Poker because they involve making decisions under uncertainty

Answer: b, c, d
Expert systems such as those for medical diagnosis because it is difficult to write rules to mimic humans
Perceptual tasks such as Object detection because these are typically learnt by experience
Game playing such as Ludo/Poker because they involve making decisions under uncertainty


Q6. Which of the following is the most accurate definition of Artificial Intelligence?
The field of science aimed at building systems that can think like humans
The field of science aimed at building systems that can act like humans
The field of science aimed at building systems that can think rationally
The field of science aimed at building systems that can act rationally

Answer: The field of science aimed at building systems that can act rationally


For answers or latest updates join our telegram channel: Click here to join

These are An Introduction to Artificial Intelligence Answers Week 1


Q7. Select the correct statements –
Weak AI Hypothesis states that the machines could act as if they were intelligent.
Weak AI Hypothesis states that for machines to act intelligently, they must also think intelligently.
Strong AI Hypothesis states that the machines could act as if they were intelligent.
Strong AI Hypothesis states that for machines to act intelligently, they must also think intelligently.

Answer: a, c
Weak AI Hypothesis states that the machines could act as if they were intelligent.
Strong AI Hypothesis states that the machines could act as if they were intelligent.


Q8. Which is the correct chronological order of the evolution of AI based on its prominence?
Probabilistic, Neural, Logic
Logic, Probabilistic, Neural
Probabilistic, Logic, Neural
Neural, Logic, Probabilistic

Answer: Logic, Probabilistic, Neural


For answers or latest updates join our telegram channel: Click here to join

These are An Introduction to Artificial Intelligence Answers Week 1


Q9. Which of the following are correct statements regarding Deep Neural Networks?
Deep Neural Networks typically use hand-engineered features and learn weights for them on train data.
Deep Neural Networks can learn both features and weights.
The first deep neural network was made in 2016.
Deep Blue was internally a neural network.

Answer: Deep Neural Networks can learn both features and weights.


Q10. AI Winter #2 in 1987-93 was primarily due to –
Decline of LISP
Decline of specialized hardware for expert systems
Failure of machine translation
Negative results in neural nets

Answer: Decline of LISP
Decline of specialized hardware for expert systems


For answers or latest updates join our telegram channel: Click here to join

These are An Introduction to Artificial Intelligence Answers Week 1


Q11. The question “Can machines think?” was first proposed by –
Yann LeCun
John McCarthy
Geoffrey Hinton
Alan Turing

Answer: Alan Turing


Q12. Select the correct statements.
Weak AI methods aim to solve general problems and are not motivated to achieve human-level performance in all tasks.
Weak AI methods aim to achieve better performance in specific tasks.
Strong AI methods are knowledge-intensive. They aim to solve specific tasks and achieve human-level (or better) performance.
Strong AI methods aim to solve all general problems of the world using a single AI tool.

Answer: Weak AI methods aim to solve general problems and are not motivated to achieve human-level performance in all tasks.
Strong AI methods are knowledge-intensive. They aim to solve specific tasks and achieve human-level (or better) performance.


For answers or latest updates join our telegram channel: Click here to join

These are An Introduction to Artificial Intelligence Answers Week 1

More Weeks of An Introduction to Artificial Intelligence: Click here

More Nptel Courses: https://progiez.com/nptel-assignment-answers


Course Name: An Introduction to Artificial Intelligence

Course Link: Click Here

These are An Introduction to Artificial Intelligence Answers Week 1


Q1) Which computer system beat Gary Kasparov in a chess game in 1997?
a. Shakey
b. Deep Thought
c. Deep Blue
d. STRIPS

Answer: c. Deep Blue


Q2) Which of the following was a major achievement of the computer EQP in 1996?
a. Proved a mathematical theorem
b. Defeated a world champion in a board game
c. Demonstrated human-level language translation
d. Performed human-level object recognition

Answer: a. Proved a mathematical theorem


These are An Introduction to Artificial Intelligence Answers Week 1


Q3) Which of the following is NOT the reason for the recent takeoff of Deep learning?
a. It can be used to model all real-world problems
b. Increased computational power with the advent of GPUs
c. Numerical optimizations and algorithmic efficiency
d. Access to a lot more labeled data

Answer: a. It can be used to model all real-world problems


Q4) The Turing test considers which of the following trait as evidence of machine intelligence.
a. Acting humanly
b. Thinking humanly
c. Acting rationally
d. Thinking rationally

Answer: a. Acting humanly


These are An Introduction to Artificial Intelligence Answers Week 1


Q5) The DARPA Urban Challenge was a competition involving building AI agents for
a. Automated gameplay
b. Recognizing objects on urban streets
c. Self-driving cars
d. Machine translation

Answer: c. Self-driving cars


Q6) Which of the following actions is a rational agent expected to prioritize?
a. The morally correct action
b. Action which leads to the greatest reward
c. Action which leads to greatest expected loss
d. Socially acceptable action

Answer: b. Action which leads to the greatest reward


These are An Introduction to Artificial Intelligence Answers Week 1


Q7) Which statements among the following statements is/are true for AlphaGo?
a. It was developed by researchers at DeepMind
b. It defeated the world champion in the game of chess
c. It is an example of a weak AI agent
d. None of the above

Answer: a. It was developed by researchers at DeepMind


These are An Introduction to Artificial Intelligence Answers Week 1


Q8) Which of the following is a perceptual task?
a. Proving mathematical theorems
b. Playing chess
c. Medical diagnosis
d. Object recognition

Answer: d. Object recognition


These are An Introduction to Artificial Intelligence Answers Week 1


Q9) Which of the following are shortcomings of Logic-based AI systems that led to probability-based AI systems?
a. Logic-based AI systems could not run on conventional general-purpose computer hardware
b. Logic cannot be used to make deductions from observations
c. Logic cannot be used to take into account the uncertainty in the environment
d. Logic is NP-hard

Answer: c. Logic cannot be used to take into account the uncertainty in the environment


Q10) Choose All correct statements about knowledge-based strong AI systems
a. They are supposed to perform general-purpose problem-solving
b. Knowledge about some specific domain is provided to such systems
c. The goal of such systems is to achieve human-level performance on one specific task
d. A* algorithm is an example of a strong AI system

Answer: b, c
b. Knowledge about some specific domain is provided to such systems
c. The goal of such systems is to achieve human-level performance on one specific task


These are An Introduction to Artificial Intelligence Answers Week 1


These are An Introduction to Artificial Intelligence Answers Week 1

More Solutions of An Introduction to Artificial Intelligence: Click Here

More NPTEL Solutions: https://progiez.com/answers/nptel/


These are An Introduction to Artificial Intelligence Answers Week 1
The content uploaded on this website is for reference purposes only. Please do it yourself first.