Artificial Intelligence and Soft Computing MCA paper Nov 2021

  • Subject Code: - PGCA 1926
  • Subject Name: - Artificial Intelligence and Soft Computing
  • Date of Examination: - Nov 2021
  • Class: - MCA 3rd
  • Exam Mode: - Online

Instructions to Candidates

  1. Attempt any FIVE question(s), each question carries 14 marks.

QUESTIONS

    1. Define intelligence. What is the intelligent behavior of a machine?
    2. What are weak methods? Identify the main difficulties that led to the disillusion with AI in the early 1970s.
    2.
    1. Describe the forward chaining inference process. Give an example.
    2. List problems for which the forward chaining inference technique is appropriate. Why is backward chaining used for diagnostic problems?
    3.
  3. Provide a definition of the word “heuristic.” In what ways can heuristics be useful in search? Name three ways in which you use heuristics in your everyday life.
    4.
  4. How does an artificial neural network model the brain? Describe two major classes of learning paradigms: supervised learning and unsupervised (self-organised) learning. What are the features that distinguish these two paradigms from each other?
    5.
    1. What is Soft Computing? What is the difference between Hard and Soft computing?
    2. Briefly discuss the applications of Soft Computing.
    6.
  6. What are a fuzzy set and a membership function? What is the difference between a crisp set and a fuzzy set? Determine possible fuzzy sets on the universe of discourse for man weights.
    7.
  7. What are the main steps of a genetic algorithm? Draw a flowchart that implements these steps. What are termination criteria used in genetic algorithms?
    8.
  8. Explain what is meant by Natural Language Processing. Explain the role of each of the following in Natural Language Processing: morphology, syntax, semantics, pragmatics, and grammar.
    9.

ANSWERS:

Q1.

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