MCASemester 32022-23Artificial IntelligenceKCA-301

Artificial Intelligence (KCA-301) - AKTU Question Paper 2022-23

MCA · Semester 3 · Free PDF Download

This is the official AKTU Artificial Intelligence Previous Year Question Paper for MCA Semester 3, academic session 2022-23. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:MCA
Semester:Semester 3
Session:2022-23
University:AKTU / UPTU

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Questions Asked in 2022-23

Artificial Intelligence (KCA-301) — extracted question text

Section AAttempt all questions in brief. 2 x 10 = 20
  • a
    What is an intelligent agent?
  • b
    State any two foundation areas of artificial intelligence
  • c
    Compare uninformed and informed search methods
  • d
    Briefly explain the concept of adversarial search
  • e
    Differentiate between procedural and declarative knowledge
  • f
    What do you mean by the knowledge representation?
  • g
    Define the term machine learning
  • h
    Write a short note on reinforcement learning. i) Define the term pattern with example. j) State nearest neighbor rule
Section BAttempt any three of the following: 10 x 3 = 30
  • a
    Discuss various categories of artificial intelligence tasks
  • b
    Explain Best-first search algorithm with the help of a diagram
  • c
    Discuss and compare forward and backward chaining methods with example
  • d
    What do you mean by statistical learning? Explain Naïve Bayes model
  • e
    Define the term clustering. Discuss k-means clustering algorithm
Section CAttempt any one part of the following: 10 x 1 = 10
  • a
    Discuss functioning of model base d intelligent agent with the h elp of a diagram
  • b
    Explain various steps involved in natural language processing
  • a
    Explain AND-OR graph searching algorithm
  • b
    Discuss the concept of MIN MAX search algorithm with diagram
  • a
    Explain concept and use of clause form conversion algorithm
  • b
    What is Bayesian network? Explain steps to create a Bayesian network
  • a
    What do you mean by Maximum Like lihood estimation? Also explain Expectation Maximization algorithm
  • b
    Discuss steps and algorithm to construct a decision tree
  • a
    Explain design cycle of a pattern recognition system with diagram
  • b
    Explain need and concept of principle component analysis in pat tern recognition process

Question text is extracted from the official AKTU question paper PDF above. Check the original PDF for equations, diagrams and complete wording. Extracted: 2026-08-23.

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