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) — extracted question text · 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. Check the original PDF for equations, diagrams and complete wording. Extracted: 2026-08-23.

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