B.TechSemester 62021-22Artificial IntelligenceKME062

Artificial Intelligence (KME062) - AKTU Question Paper 2021-22

B.Tech · Semester 6 · Free PDF Download

This is the official AKTU Artificial Intelligence Previous Year Question Paper for B.Tech Semester 6, academic session 2021-22. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 6
Session:2021-22
University:AKTU / UPTU

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Questions Asked in 2021-22

Artificial Intelligence (KME062) — extracted question text

Section AAttempt all q u e s t i o n s i n b r i e f . 2 x 10 = 20
  • a
    Write a short note on Iterative Improvement Algorithm. 2 1
  • b
    What are the different approaches of AI? 2 1
  • c
    Describe First Order Logic in AI. 2 2
  • d
    What is resolution? 2 2
  • e
    Define Hidden Markov Model (HMM). 2 3
  • f
    What is Inductive Learning? 2 3
  • g
    Define Clustering. 2 4
  • h
    Explain term Maximum a Posteriori (MAP). 2 4 i. Write some applications of Speech Recognition. 2 5 j. Define Practical Natural Language Processing. 2 5
Section BAttempt any three o f t h e f o l l o w i n g :
  • a
    What is Heuristic search? Giv e the desirable properties of H euristic search algorithm
  • b
    What is Propositional Logic? Define the various Inference Ru les with the help of examples
  • c
    What is Bayesian Theory? Explain the role of prior probabili ty and posterior probability in Bayesian classification
  • d
    Describe Supervised Learning a nd Unsupervised Learning. 10 4
  • e
    Define Intelligent Agents. Def ine the types of communicating agent. 10 5
Section CAttempt any one p a r t o f t h e f o l l o w i n g :
  • a
    Discuss the problem of Hill Climbing Algorithm. 10 1
  • b
    What is Problem Space? How problem can be defined as state s pace search?
  • a
    Explain Unification Algorithm used for reasoning under Predi cate Logic with an example
  • b
    Differentiate between Forward and Backward chaining of Inference with the help of an example
  • a
    What are Planning graphs? Explain the methods of planning an d acting in the real world
  • b
    Explain the method of handling Approximate Inference in Baye sian Network
  • a
    Illustrate Decision Trees Technique using suitable example. 10 4
  • b
    Define Reinforcement Learning (RL). Write its applications. 10 4
  • a
    Define the Architecture a nd Configuration Bases of Robots. 1 0 5
  • b
    What are Image- Processing Oper ations? Define how Vision can be used for navigation and manipulation

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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