[Week 1-12] NPTEL An Introduction to Artificial Intelligence Assignment Answers 2024
    About Lesson

    1. 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 :- B

    2. 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 :- c

    3. Which of the following is the task of the DARPA grand challenge?

    • Object Recognition
    • Logical Game Playing
    • Automatic Machine Translation
    • Autonomous Driving

    Answer :- D

    4. The Turing test considers which of the following traits as evidence of machine intelligence?

    • Acting humanly
    • Thinking humanly
    • Acting rationally
    • Thinking rationally

    Answer :- A

    5. 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

    6. 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 :- D

    7. 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, D

    8. 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 :- B

    9. 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 :- B

    10. 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 :- a, b

    11. The question “Can machines think?” was first proposed by –

    • Yann LeCun
    • John McCarthy
    • Geoffrey Hinton
    • Alan Turing

    Answer :- D

    12. 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 :- A, C

    0% Complete