CE-803 (A) · Artificial Intelligence/Unsolved PYQ Paper
CE-803 (A) Artificial Intelligence - Jun 2025 Question Paper
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Unit 17 MarksaExplain the structure of agents and differentiate between goal-based and utility-based agents.
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Unit 17 MarksbDescribe the concept of intelligent agents and discuss how they interact with the environment.
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Unit 17 MarksaDefine the problem of AI and discuss the main characteristics that make a problem suitable for AI.
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Unit 17 MarksbExplain the Tic-Tac-Toe problem in the context of AI and describe its significance in understanding AI techniques.
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Unit 17 MarksaExplain breadth-first search and depth-first search strategies with examples.
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Unit 17 MarksbDescribe the concept of bidirectional search and its advantages.
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Unit 17 MarksaDiscuss the A* search algorithm and its importance in heuristic search strategies.
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Unit 17 MarksbDescribe the AO* search and its application in problem-solving.
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Unit 47 MarksaExplain the minimax search procedure in adversarial search and its application in games.
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Unit 47 MarksbDescribe the concept of alpha-beta pruning and how it optimizes the minimax procedure.
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Unit 17 MarksaWhat are constraint satisfaction problems? Discuss local search methods for solving these problems.
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Unit 47 MarksbDiscuss the advantages and limitations of the minimax algorithm in game theory. https://www.rgpvonline.com
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Unit 27 MarksaDescribe the representation of knowledge using predicate logic with examples.
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Unit 57 MarksbExplain the difference between forward reasoning and backward reasoning.
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Unit 27 MarksaDiscuss procedural versus declarative knowledge with examples.
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Unit 57 MarksbExplain how control knowledge aids in problem-solving within AI systems.
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