Artificial Intelligence PYQ 2025-26 AKTU Question Paper

Artificial Intelligence AKTU syllabus

1. Unit 1: Introduction
2. Unit 2: Problem Solving Methods
3. Unit 3: Knowledge Representation
4. Unit 4: Software Agents
5. Unit 5: Applications

Questions in Artificial Intelligence AKTU PYQ 2025-26

1. Q1a. What is meant by intelligent behavior? (2 marks, 2025-26)
2. Q1b. Define state space in Artificial Intelligence (2 marks, 2025-26)
3. Q1c. Define a local search? (2 marks, 2025-26)
4. Q1d. Define optimal decision in games. (2 marks, 2025-26)
5. Q1e. Define unification in Prolog. (2 marks, 2025-26)
6. Q1f. Define rational agent. (2 marks, 2025-26)
7. Q1g. Explain the concept of speech recognition. (2 marks, 2025-26)
8. Q2a. Discuss the role of AI in the future of technology and society. (7 marks, 2025-26)
9. Q2b. Solve a problem using depth-first search (DFS) and show the path explored. (7 marks, 2025-26)
10. Q2c. Explain the role of events, mental events, and mental objects in intelligent agents' reasoning. (7 marks, 2025-26)
11. Q2d. Explain the coordination mechanisms used in multi-agent systems. (7 marks, 2025-26)
12. Q2e. Describe the role of information retrieval systems in modern AI applications. (7 marks, 2025-26)
13. Q3a. Explain the transition of Artificial Intelligence from rule-based systems to machine learning-based systems. (7 marks, 2025-26)
14. Q3b. Explain the concept of an environment in which an AI agent operates. (7 marks, 2025-26)
15. Q4a. Explain the formulation and solution techniques of Constraint Satisfaction Problems (CSP) with examples. (7 marks, 2025-26)
16. Q4b. Discuss stochastic games and the role of probability in decision-making. (7 marks, 2025-26)
17. Q5a. Demonstrate resolution principle by proving a simple theorem in propositional logic. (7 marks, 2025-26)
18. Q5b. Create a forward chaining example in a rule-based system to determine eligibility for a scholarship. (7 marks, 2025-26)
19. Q6a. Explain the complete architecture of intelligent agents including deliberative, reactive, and hybrid layers. (7 marks, 2025-26)
20. Q6b. Describe how learning agents adapt their behavior over time. (7 marks, 2025-26)
21. Q7a. Explain planning algorithms in AI, such as STRIPS and hierarchical task networks. (7 marks, 2025-26)
22. Q7b. Analyze the speech recognition techniques including acoustic modeling and language modeling. (7 marks, 2025-26)

Artificial Intelligence exam preparation

• Artificial Intelligence Important Topics
• Artificial Intelligence PYQ Analysis (unit-wise)
• Artificial Intelligence Predicted Paper
• Artificial Intelligence Important Questions