AKTU MCA Artificial Intelligence (BMC021) 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. Define Artificial Intelligence and mention any two application areas of AI.
2. What is a search strategy in AI? Give one example each of an uninformed and an informed search technique.
3. What is propositional logic? State one difference between propositional logic and first-order logic.
4. Differentiate between supervised learning and unsupervised learning in machine learning.
5. Define pattern recognition and describe two real-world applications of pattern recognition.
6. Explain the concept of an intelligent agent with an example.
7. What is a heuristic function in AI search? Give an example of a heuristic.

Section B

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

1. Describe the structure and components of a simple reflex agent.
2. Explain the basic structure of an intelligent agent and discuss two application areas of AI.
3. Explain forward chaining and backward chaining in rule-based reasoning, giving one example of each.
4. Explain the Expectation-Maximization (EM) algorithm for handling missing data in machine learning, with an example.
5. Explain the working of the k-means clustering algorithm with an example.

Section C

Q3

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

1. What is the Turing Test? Explain its significance in evaluating machine intelligence.
2. Explain the concept of an intelligent agent and describe the architecture of a basic agent.

Q4

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

1. Explain Uniform-Cost Search and illustrate its working with an example.
2. Describe Alpha-Beta pruning in adversarial search and discuss its advantages.

Q5

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

1. Explain forward chaining and backward chaining in rule-based reasoning, giving one example of each.
2. Explain resolution in propositional logic with an example.

Q6

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

1. Explain the concept of reinforcement learning and give an example of its application.
2. Describe reinforcement learning and provide a real-life example.

Q7

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

1. Explain the principle of the Support Vector Machine (SVM) for classification.
2. Explain the concept of Principal Component Analysis (PCA) and evaluate its importance in pattern recognition.

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