Artificial intelligence

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Module 4: Advanced AI Applications

  1. Q1a. Parts of speech tagging determines (i) parts of speech for each word dynamically as per meaning of the sentence (ii) parts of speech for each word dynamically as per sentence structure (iii) all parts of speech for a specific word given as input (iv) All of the above20202m

    Module 4: Advanced AI Applications

    Parts of speech tagging determines

    (i) parts of speech for each word dynamically as per meaning of the sentence
    (ii) parts of speech for each word dynamically as per sentence structure
    (iii) all parts of speech for a specific word given as input
    (iv) All of the above

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  2. Q1a. In LISP, the function returns the list that result after the first element is removed (the rest of the list), is (i) car (ii) last (iii) cons (iv) cdr20222m

    Module 4: Advanced AI Applications

    In LISP, the function returns the list that result after the first element is removed (the rest of the list), is

    (i) car
    (ii) last
    (iii) cons
    (iv) cdr

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  3. Q1b. Many words have more than one meaning; we have to select the meaning which makes the most sense in context. This can be resolved by (i) fuzzy logic (ii) shallow semantic analysis (iii) word sense disambiguation (iv) All of the above20202m

    Module 4: Advanced AI Applications

    Many words have more than one meaning; we have to select the meaning which makes the most sense in context. This can be resolved by

    (i) fuzzy logic
    (ii) shallow semantic analysis
    (iii) word sense disambiguation
    (iv) All of the above

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  4. Q1c. Decision support programs are designed to help managers make (i) budget projections (ii) visual presentations (iii) business decisions (iv) vacation schedules20202m

    Module 4: Advanced AI Applications

    Decision support programs are designed to help managers make

    (i) budget projections
    (ii) visual presentations
    (iii) business decisions
    (iv) vacation schedules

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  5. Q1d. Face Recognition system is based on which type of approach? (i) Weak AI approach (ii) Applied AI approach (iii) Cognitive AI approach (iv) Strong AI approach20222m

    Module 4: Advanced AI Applications

    Face Recognition system is based on which type of approach?

    (i) Weak AI approach
    (ii) Applied AI approach
    (iii) Cognitive AI approach
    (iv) Strong AI approach

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  6. Q1e. Which is not the commonly used programming language for AI? (i) Prolog (ii) Java (iii) LISP (iv) Perl20222m

    Module 4: Advanced AI Applications

    Which is not the commonly used programming language for AI?

    (i) Prolog
    (ii) Java
    (iii) LISP
    (iv) Perl

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  7. Q1g. Define meta-knowledge in expert system.20192m

    Module 4: Advanced AI Applications

    Define meta-knowledge in expert system.

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  8. Q1h. Write any two differences between traditional computer system programs and expert systems.20192m

    Module 4: Advanced AI Applications

    Write any two differences between traditional computer system programs and expert systems.

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  9. Q1i. What are the main components of the expert systems? (i) Inference engine (ii) Knowledge base (iii) Both inference engine and knowledge base (iv) None of the above20202m

    Module 4: Advanced AI Applications

    What are the main components of the expert systems?

    (i) Inference engine
    (ii) Knowledge base
    (iii) Both inference engine and knowledge base
    (iv) None of the above

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  10. Q1j. Which of the following is a key step in a genetic algorithm? (i) Regression (ii) Cross-validation (iii) Crossover (iv) Tokenization20242m

    Module 4: Advanced AI Applications

    Which of the following is a key step in a genetic algorithm?

    (i) Regression
    (ii) Cross-validation
    (iii) Crossover
    (iv) Tokenization

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  11. Q2a. Explain with diagram the organization of a natural language understanding system.20207m

    Module 4: Advanced AI Applications

    Explain with diagram the organization of a natural language understanding system.

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  12. Q2b. Describe all the levels of language understanding in natural language processing system.20207m

    Module 4: Advanced AI Applications

    Describe all the levels of language understanding in natural language processing system.

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  13. Q4b. Explain the human preferences in encoding uncertainty during parsing.20227m

    Module 4: Advanced AI Applications

    Explain the human preferences in encoding uncertainty during parsing.

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  14. Q5a. Explain the procedure of knowledge acquisition with the help of a diagram.20207m

    Module 4: Advanced AI Applications

    Explain the procedure of knowledge acquisition with the help of a diagram.

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  15. Q5b. Explain knowledge acquisition techniques.20227m

    Module 4: Advanced AI Applications

    Explain knowledge acquisition techniques.

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  16. Q6b. Discuss the major challenges in developing a practical Robotics system using AI.20257m

    Module 4: Advanced AI Applications

    Discuss the major challenges in developing a practical Robotics system using AI.

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  17. Q7b. Why is MYCIN considered important in the development of expert systems and how did it lead to EMYCIN?20197m

    Module 4: Advanced AI Applications

    Why is MYCIN considered important in the development of expert systems and how did it lead to EMYCIN?

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  18. Q7b. Explain the basic component of an expert system.20227m

    Module 4: Advanced AI Applications

    Explain the basic component of an expert system.

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  19. Q8a. Explain Expert system shell.20197m

    Module 4: Advanced AI Applications

    Explain Expert system shell.

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  20. Q8a. Why is Natural Language Processing (NLP) used? Is NLP difficult to learn? Explain.20227m

    Module 4: Advanced AI Applications

    Why is Natural Language Processing (NLP) used? Is NLP difficult to learn? Explain.

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  21. Q8b. Write a function in LISP that computes prime number between 1 and 25 (inclusive).20227m

    Module 4: Advanced AI Applications

    Write a function in LISP that computes prime number between 1 and 25 (inclusive).

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  22. Q9a. What are the steps in Natural language processing? List and explain them briefly.20197m

    Module 4: Advanced AI Applications

    What are the steps in Natural language processing? List and explain them briefly.

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  23. Q9a. What is a Genetic Algorithm (GA)? Outline the basic steps of a GA such as selection, crossover, and mutation using an example of solving a simple optimization problem.20247m

    Module 4: Advanced AI Applications

    What is a Genetic Algorithm (GA)? Outline the basic steps of a GA such as selection, crossover, and mutation using an example of solving a simple optimization problem.

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  24. Q9a. Write a short note on: Natural Language Processing20257m

    Module 4: Advanced AI Applications

    Write a short note on:

    Natural Language Processing

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  25. Q9b. Explain the application of Natural language processing in AI.20197m

    Module 4: Advanced AI Applications

    Explain the application of Natural language processing in AI.

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  26. Q9b. Explain the working of rule-based Expert Systems. Create a small rule base for diagnosing common cold vs. flu using IF-THEN rules.20247m

    Module 4: Advanced AI Applications

    Explain the working of rule-based Expert Systems. Create a small rule base for diagnosing common cold vs. flu using IF-THEN rules.

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  27. Q9b. Write a short note on: Expert Systems20257m

    Module 4: Advanced AI Applications

    Write a short note on:

    Expert Systems

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  28. Q9d. Write a short note on: Computer Vision20257m

    Module 4: Advanced AI Applications

    Write a short note on:

    Computer Vision

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