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Ai Question Paper PDF

The document outlines a sample question paper for BCA 304: Artificial Intelligence at Rajasthan University, structured into three parts: very short answer questions, short answer questions, and long answer questions. Each part covers various topics related to AI, including definitions, algorithms, knowledge representation, natural language processing, and expert systems. The paper is designed to assess students' understanding and application of AI concepts, with specific marks allocated for each question type.

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334 views3 pages

Ai Question Paper PDF

The document outlines a sample question paper for BCA 304: Artificial Intelligence at Rajasthan University, structured into three parts: very short answer questions, short answer questions, and long answer questions. Each part covers various topics related to AI, including definitions, algorithms, knowledge representation, natural language processing, and expert systems. The paper is designed to assess students' understanding and application of AI concepts, with specific marks allocated for each question type.

Uploaded by

nankubanna7773
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Based on the syllabus provided in the image for BCA 304: Artificial Intelligence (Rajasthan

University), here is a sample question paper designed according to the specified pattern:

Rajasthan University
BCA 304: Artificial Intelligence
Maximum Marks: 100
Time: 3 Hours

Part – I (Very Short Answer Questions)

[2 marks each – Answer all 10 questions, 2 from each unit]


(Answer each question in about 30 words)

1. What is Artificial Intelligence?

2. List any two characteristics of AI.

3. Define breadth-first search.

4. What is a heuristic function?

5. What is declarative knowledge?

6. Write any two types of knowledge representation techniques.

7. What is syntax in Natural Language Processing?

8. Define Chomsky hierarchy.

9. Define Expert System.

10. Mention any one difference between human expert and expert system.
Part – II (Short Answer Questions)

[4 marks each – Answer 5 questions, 1 from each unit]


(Answer each question in about 80 words)

11. (a) Discuss the applications of AI.


OR
(b) Explain the difference between AI and machine learning.

12. (a) Explain the A* algorithm with an example.


OR
(b) Differentiate between depth-first and breadth-first search.

13. (a) Describe the procedural and declarative types of knowledge.


OR
(b) Explain knowledge representation using propositional logic.

14. (a) Write short notes on context-free grammar and parsing in NLP.
OR
(b) Discuss the steps of natural language processing.

15. (a) Explain the structure of an expert system.


OR
(b) Write a short note on the MYCIN expert system.

Part – III (Long Answer Questions)

[12 marks each – Answer 5 questions, 1 from each unit with internal choice]

16. (a) What is AI? Discuss agents and their environments. Also explain different types of
agents.
OR
(b) Describe the concept of machine learning and deep learning in the context of AI.

17. (a) Explain the difference between informed and uninformed search strategies with
suitable examples.
OR
(b) Discuss game playing using adversarial search with a suitable example.

18. (a) Explain different approaches to knowledge representation. How is clause form used
in propositional logic?
OR
(b) What is predicate logic? Explain unification and resolution in predicate logic with
examples.

19. (a) Explain the Chomsky hierarchy of grammars with examples.


OR
(b) Describe the application of NLP. Explain any one case study (e.g., Eliza or Lunar
system).

20. (a) What is an expert system? Explain its characteristics, benefits, and limitations.
OR
(b) Explain the components and development process of expert systems in detail.

Let me know if you'd like this paper formatted in a Word or PDF file, or want a version in Hindi.

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