AKTU Artificial Intelligence (BCAI501) Question Paper 2025-26

Note: Attempt all Sections. If require any missing data; then choose suitably.

Section A

Q1. Attempt all questions in brief · 2 × 7 = 14 marks

1. What is meant by intelligent behavior?
2. Define state space in Artificial Intelligence
3. Define a local search?
4. Define optimal decision in games.
5. Define unification in Prolog.
6. Define rational agent.
7. Explain the concept of speech recognition.

Section B

Q2. Attempt any three of the following · 7 × 3 = 21 marks

1. Discuss the role of AI in the future of technology and society.
2. Solve a problem using depth-first search (DFS) and show the path explored.
3. Explain the role of events, mental events, and mental objects in intelligent agents’ reasoning.
4. Explain the coordination mechanisms used in multi-agent systems.
5. Describe the role of information retrieval systems in modern AI applications.

Section C

Q3

Attempt any one part of the following · 7 × 1 = 7 marks

1. Explain the transition of Artificial Intelligence from rule-based systems to machine learning-based systems.
2. Explain the concept of an environment in which an AI agent operates.

Q4

Attempt any one part of the following · 7 × 1 = 7 marks

1. Explain the formulation and solution techniques of Constraint Satisfaction Problems (CSP) with examples.
2. Discuss stochastic games and the role of probability in decision-making.

Q5

Attempt any one part of the following · 7 × 1 = 7 marks

1. Demonstrate resolution principle by proving a simple theorem in propositional logic.
2. Create a forward chaining example in a rule-based system to determine eligibility for a scholarship.

Q6

Attempt any one part of the following · 7 × 1 = 7 marks

1. Explain the complete architecture of intelligent agents including deliberative, reactive, and hybrid layers.
2. Describe how learning agents adapt their behavior over time.

Q7

Attempt any one part of the following · 7 × 1 = 7 marks

1. Explain planning algorithms in AI, such as STRIPS and hierarchical task networks.
2. Analyze the speech recognition techniques including acoustic modeling and language modeling.

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