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CE-803 (A) · Artificial Intelligence/Unsolved PYQ Paper

ARTIFICIAL INTELLIGENCE - JUN 2024 Question Paper

  1. Unit 1
    7 Marks
    aWhat are the essential characteristics of production systems and how do they differ from other AI problem-solving approaches?
  2. Unit 1
    7 Marks
    bWhat is the $A^{*}$ search algorithm, and how does it combine elements of other search algorithms? Why is it considered a popular choice for many AI applications?
  3. Unit 1
    7 Marks
    aHow can AI contribute to solving global challenges, such as climate change, healthcare or education? Provide specific examples.
  4. Unit 2
    7 Marks
    bHow does knowledge representation facilitate the use of deductive reasoning in AI?
  5. Unit 2
    7 Marks
    aCompare and contrast propositional logic and predicate logic in terms of their expressiveness and applicability in different problem domains.
  6. Unit 2
    7 Marks
    bAnalyze a complex AI problem, such as natural language understanding, and propose a knowledge representation scheme that would effectively address its challenges.
  7. Unit 3
    7 Marks
    aDifferentiate between scripts, schemas and frames. How are they applied in knowledge representation?
  8. Unit 3
    7 Marks
    bDefine Bayes' Theorem and explain its significance in probabilistic reasoning.
  9. Unit 3
    7 Marks
    aEvaluate the limitations of frames in knowledge representation and propose enhancements or alternatives to address these limitations.
  10. Unit 4
    7 Marks
    bWhat is the "block world" problem in robotics and why is it a significant challenge in the field of artificial intelligence?
  11. Unit 4
    7 Marks
    aGiven a simplified game tree for tic-tac-toe, apply the minimax procedure to determine the optimal move for a player at a particular state of the game.
  12. Unit 4
    7 Marks
    bEvaluate the ethical implications of using NLP in surveillance and monitoring systems. How can these implications be addressed?
  13. Unit 5
    7 Marks
    aList and describe the key characteristics that distinguish expert systems from other computer programs.
  14. Unit 5
    7 Marks
    bDevelop a comprehensive expert system for a complex domain, such as legal advice or financial planning. Explain how you would ensure the system's knowledge is up to date.
  15. Unit 5OR Choice
    7 Marks
    aAnalyze the limitations of expert systems, including issues related to knowledge acquisition, knowledge representation.
  16. Unit 1OR Choice
    7 Marks
    bDifferentiate between classical search algorithms and heuristic search algorithms.
  17. Unit 1OR Choice
    7 Marks
    cCompare and contrast classical AI systems and modern AI systems in terms of their performance and adaptability.
  18. Unit 4OR Choice
    7 Marks
    dDefine natural language processing (NLP) and its importance in AI.
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