AKTU Artificial Intelligence (BCS701) Question Paper 2025-26

Note: Attempt all Sections. In case of any missing data; choose suitably.

Section A

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

1. What is an intelligent agent?
2. Define Artificial Intelligence and Mention any two applications of AI.
3. What is an uninformed search strategy?
4. Define Breadth First Search (BFS).
5. Define propositional logic.
6. What is a Bayesian Network?
7. What is Explainable AI (XAI)?

Section B

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

1. Discuss the history and evolution of AI, highlighting major milestones.
2. Explain Hill Climbing algorithm and its limitations.
3. Explain knowledge-based agents using the Wumpus World.
4. Write Short Note on- a. fuzzy logic b. Perceptron model
5. Explain Natural Language Processing and its components. (NLP)

Section C

Q3

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

1. Explain the problem-solving approach to AI with an example and also Explain problem-solving agents and their components.
2. Discuss the architecture of intelligent agents with a diagram.

Q4

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

1. What do you mean by Constraint Satisfaction Problems (CSP) with examples?
2. Explain stochastic games and partially observable games.

Q5

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

1. Describe and compare forward chaining and backward chaining.
2. Discuss ontological engineering with its importance and also Explain reasoning using ontologies.

Q6

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

1. Explain supervised learning and unsupervised learning with examples.
2. Derive and explain Bayes’ Rule with an example.

Q7

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

1. Discuss case studies of XAI in NLP and computer vision.
2. Explain the role of trust and interpretability in AI.

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