AKTU Artificial Intelligence (BCIT054) Question Paper 2024-25
| University | Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow |
|---|---|
| Course | B.Tech, Semester V |
| Subject | Artificial Intelligence (BCIT054) |
| Exam | Theory Examination 2024-25 (odd semester) |
| Time · Marks | 3 hours · 70 marks |
| Source | AKTU question paper, from the ABESIT question paper bank |
Note: Attempt all Sections. In case of any missing data; choose suitably.
Section A
Q1. Attempt all questions in brief · 2 × 7 = 14 marks
- Define Artificial Intelligence.
- What is a deterministic environment in AI?
- Define problem-solving in the context of AI.
- Define an optimization problem in AI.
- What is First Order Predicate Logic (FOPL)?
- Define negotiation in the context of software agents.
- Explain the concept of machine translation.
Section B
Q2. Attempt any three of the following · 7 × 3 = 21 marks
- Discuss the role of sensors and actuators in Intelligent Agent systems with suitable examples.
- Explain the difference between uninformed and informed search strategies with examples.
- Explain the categories and objects in ontological engineering with examples.
- Describe the negotiation process in multi-agent systems with examples.
- Explain the architecture and functioning of speech recognition systems.
Section C
Q3
Attempt any one part of the following · 7 × 1 = 7 marks
- Explain the role of AI in tackling global challenges like climate change and resource management.
- Explain the role of AI in enhancing decision-making processes in business applications.
Q4
Attempt any one part of the following · 7 × 1 = 7 marks
- Discuss the structure and components of a Constraint Satisfaction Problem (CSP).
- Discuss the alpha-beta pruning technique and how it improves game search efficiency.
Q5
Attempt any one part of the following · 7 × 1 = 7 marks
- Compare semantic networks and frames as knowledge representation methods. Explain how FOPL is used for representing knowledge in AI systems.
- Explain how FOPL is used for representing knowledge in AI systems.
Q6
Attempt any one part of the following · 7 × 1 = 7 marks
- Explain how argumentation is used for resolving conflicts in multi-agent systems.
- Discuss the use of trust metrics in multi-agent decision-making.
Q7
Attempt any one part of the following · 7 × 1 = 7 marks
- Discuss the challenges of multilingual support in machine translation systems.
- Explain how tokenization impacts natural language processing tasks.
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