Artificial Intelligence (KAI501) - AKTU Question Paper 2023-24
B.Tech · Semester 5 · Free PDF Download
This is the official AKTU Artificial Intelligence Previous Year Question Paper for B.Tech Semester 5, 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 5
Session:2023-24
University:AKTU / UPTU
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Questions Asked in 2023-24
Artificial Intelligence (KAI501) — 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 .
- aExplain Artificial intelligen ce impacting everyday life. 2 CO1
- bExplain the concept of default reasoning in artificial intelligence. 2 CO1
- cExplain the concepts of Skolemization. 2 CO1
- dDiscuss decision-making in the context of game-playing algorit hms. 2 CO1
- eExplain Uniform-cos t search algorithm. 2 CO1
- fDefine backtracking in the context of search algorithms. 2 CO1
- gDefine existential generalizatio n in the context of first-order logic 2 CO1
- hExplain the importance of consistency in logical systems. 2 CO1 i. Discuss the consideration of tem poral aspects in the architecture of intelligent agents. 2 CO1 j. Define the decision-making module in the architecture of intelligent agents. 2 CO1
Section BAttempt any three o f t h e f o l l o w i n g :
- aDiscuss how this approach has been successfully applied in a real-world scenario, outlining challenges and outcomes
- bHow does the representation of objects contribute to the dev elopment of structured ontologies
- cHow can cross-domain trust models contribute to more versati le and effective multi- agent interactions?
- dDiscuss the limitations of these metrics and propose alterna tive approaches for more accurate assessments
- eWhat impact will AI have on pr ivacy and data security, and what measures should be in place to protect individuals in the future?
Section CAttempt any one part of the following:
- aExplain the concept of default reasoning in artificial intelligence. 10 CO3
- bProvide examples of scenarios where alpha-beta pruning is hi ghly effective in speeding up decision-making
- aIdentify challenges that may a rise as AI technologies advance and discuss strategies for addressing these challenges in problem-solving approaches
- bDiscuss challenges and considerations in modeling dynamic pr ocesses and events within ontological frameworks
- aDiscuss how Nash equilibrium and cooperative game theory con cepts apply to negotiation scenarios
- bDiscuss how neural networks, p articularly trans formers, have revolutionized natural language processing task
- aProvide examples of how supervised or reinforcement learning can enhance the decision- making capabilities of AI systems
- bDiscuss the importance of a well-defined problem representat ion in the success of backtracking algorithms
- aExplore recent advances or extensions to FOPL that address t hese challenges and enhance its usability
- bDiscuss emerging trends in Machine Translation, including po tential advancements and challenges in the future
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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