B.TechSemester 72023-24Artificial IntelligenceKCS071

Artificial Intelligence (KCS071) - AKTU Question Paper 2023-24

B.Tech · Semester 7 · Free PDF Download

This is the official AKTU Artificial Intelligence Previous Year Question Paper for B.Tech Semester 7, academic session 2023-24. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 7
Session:2023-24
University:AKTU / UPTU

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Questions Asked in 2023-24

Artificial Intelligence (KCS071) — complete question paper · 100 marks · 3 Hours

Section AAttempt all q u e s t i o n s i n b r i e f . 2 x 10 = 20
  • a
    Explain the historical back ground and evolution of Artificial Intelligence. 2
  • b
    Provide a concise defini tion of Artificial Intelligence and its main objectives. 2
  • c
    What challenges arise when deal ing with partial observations i n search problems?
  • d
    Define Constraint Satisfaction Problems 2
  • e
    What is unification in the context of logic programming? 2
  • f
    Describe the proce ss of resolution in logic programming. 2
  • g
    What are the key characteristics that define an intelligent ag ent in a multi- agent system?
  • h
    Explain the importance of comm unication among intelligent agents in a multi- agent system. i. Provide examples of real-world applications where information extraction is essential. j. Discuss the challenges associated with information retrieval i n large and unstructured datasets
Section BAttempt any three o f t h e f o l l o w i n g : 10 x 3= 30
  • a
    Explain the role of sensors and effectors in the functioning of intelligent agents
  • b
    Explain the basic principles o f uninformed search strategies. Provide examples of algorithms falling under this category
  • c
    Explain the concept of First Order Predicate Logic and how i t is utilized in Prolog programming
  • d
    How do intelligent agents perceive and act within their envi ronment in the context of multi-agent systems?
  • e
    Explain the importance of pre-t rained language models in var ious AI applications
Section CAttempt any one p a r t o f t h e f o l l o w i n g : 10 x 1= 10
  • a
    Discuss how AI systems approach problem-solving, considering search algorithms and heuristics
  • b
    What ethical considerations should be taken into account in the development and deployment of AI systems?
  • a
    Describe the concept of local search algorithms. Provide an example of an optimization problem and explain how local search algorithms can be applied to solve it
  • b
    Define informed search and he uristics. How do heuristics con tribute to improving the efficiency of search algorithms?
  • a
    Compare and contrast forward chaining and backward chaining in the context of rule-based reasoning systems. Provide examples to illustrate each
  • b
    How is knowledge represented in ontological engineering, and what role does ontological engineering play in building intelligent systems?
  • a
    What are the different communi cation paradigms used by intel ligent agents, and how do they facilitate collaboration?
  • b
    What role does bargaining play in resolving conflicts and re aching agreements among intelligent agents?
  • a
    What are language models, and how do they contribute to natu ral language processing tasks?
  • b
    How does information retrieval play a crucial role in enhanc ing search engines and recommendation systems?

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.

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