MCASemester 32025-26Artificial IntellingenceBMC021
View PDFDownload

Artificial Intellingence (BMC021) - AKTU Question Paper 2025-26

MCA · Semester 3 · Free PDF Download

This is the official AKTU Artificial Intellingence Previous Year Question Paper for MCA Semester 3, academic session 2025-26. 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:2025-26
University:AKTU / UPTU

Rate this paper

Questions Asked in 2025-26

Artificial Intellingence (BMC021) — complete question paper · 70 marks · 3 Hours

Section AAttempt all q u e s t i o n s i n b r i e f . 02 x 7 = 14
  • a
    Define Artificial Intelligence and mention any two application areas of
  • b
    What is a search strategy in AI? Give one example each of an uninformed and an informed search technique
  • c
    What is propositional logic? State one difference between prop ositional logic and first-order logic
  • d
    Differentiate between supervise d learning and unsupervised lea rning in machine learning
  • e
    Define pattern recognition and describe two real-world applica tions of pattern recognition
  • f
    Explain the concept of an intelligent agent with an example. 1 K 2
  • g
    What is a heuristic function in AI search? Give an example of a heuristic
Section BAttempt any three o f t h e f o l l o w i n g : 07 x 3 = 21
  • a
    Describe the structure and c omponents of a simple reflex agent
  • b
    Explain the basic structure of an intelligent agent and disc uss two application areas of AI
  • c
    Explain forward chaining and b ackward chaining in rule-based reasoning, giving one example of each
  • d
    Explain the Expectation-Maxi mization (EM) algorithm for hand ling missing data in machine learning, with an example
  • e
    Explain the working of the k-means clustering algorithm with an example
Section CAttempt any one p a r t o f t h e f o l l o w i n g : 07 x 1 = 07
  • a
    What is the Turing Test? Expl ain its significance in evaluat ing machine intelligence
  • b
    Explain the concept of an intelligent agent and describe the architecture of a basic agent
  • a
    Explain Uniform-Cost Search a nd illustrate its working with an example
  • b
    Describe Alpha-Beta pruning in adversarial search and discus s its advantages
  • a
    Explain forward chaining and b ackward chaining in rule-based reasoning, giving one example of each
  • b
    Explain resolution in propositional logic with an example. 3 K 3
  • a
    Explain the concept of reinf orcement learning and give an example of its application
  • b
    Describe reinforcement learni ng and provide a real-life example
  • a
    Explain the principle of the Support Vector Machine (SVM) fo r classification
  • b
    Explain the concept of Principal Component Analysis (PCA) an d evaluate its importance in pattern recognition

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

More MCA Semester 3 (2025-26) Papers

Other subjects from same semester and session

Python Programming2025-26Elementary Mathematics Bridge Course2025-26Cryptography And Network Security2025-26Computer Network2025-26Cloud Computing2025-26Software Engineering2025-26Data Wirehousing And Date Mining2025-26
View all MCA Semester 3 2025-26 papers →