B.TechSemester 72024-25Artificial IntelligenceKCS071

Artificial Intelligence (KCS071) - AKTU Question Paper 2024-25

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 2024-25. 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:2024-25
University:AKTU / UPTU

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Questions Asked in 2024-25

Artificial Intelligence (KCS071) — extracted question text · 100 marks · 3 Hours

Section AAttempt all questions in brief. 2 x 10 = 20
  • a
    Define artificial intelligence
  • b
    Name two most common AI problems
  • c
    Explain problem solving methods. 2 K2
  • e
    Explain forward chaining in inference systems
  • f
    What is ontological engineering?
  • g
    Explain the main components of an architecture for intelligent agents
  • h
    Evaluate the purpose of negotiation and bargaining in multi-ag ent systems. i. Name two applications on AI. 5 K1 j. Distinguish Information Retrieva l from Information Extraction. 5 K 4
Section BAttempt any three of the following: 10 x 3 = 30
  • a
    Discuss the impact of quantum computing on the future development and capabilities of intelligent agents in AI
  • b
    How do heuristics contribute to the problem-solving process in AI, and what are some common heuristic techniques used in search algorithms?
  • c
    Examine the concept of unification in prolog and its signifi cance for language inference mechanism
  • d
    Appraise the reputation manage ment in multi-agent systems, a nd its importance
  • e
    Illustrate some real-world applications of artificial intell igence, and the impact on different industries
Section CAttempt any one part of the following: 10 x 1 = 10
  • a
    Illustrate the differences between reactive and proactive in telligent agents including applications
  • b
    Examine the ways the future of Artificial Intelligence can a ddress the current limitations in natural language processing and understanding
  • a
    Discuss the primary problem-s olving methods of artificial intelligence, and how do they differ from traditional computational approaches?
  • b
    Examine the working of backtr acking search in solving CSPs, along with key advantages and limitations
  • a
    Evaluate First Order Predicate Logic (FOPL), and its differe nce from propositional logic in terms of expressiveness and complexity
  • b
    How do reasoning systems handle mental events, mental object s, and what are the implications for AI applications?
  • a
    Explain the role of negotiation and bargaining in multi-agen t systems, and how do agents reach agreements?
  • b
    Examine the challenges in establishing trust among agents in a multi- agent system
  • a
    Discuss the steps involved in speech recognition and its imp ortance in human-computer interaction
  • b
    Explain the concept of information extraction and its signif icance in processing unstructured data

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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