University of Madras Computer Madras University, Artificial intelligence, M.C.A degree Examination,Third Semester , December 2018. University model question papers

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Posted Date: 04 Aug 2020      Posted By:: Jannane.M    Member Level: Gold  Points: 3 (₹ 2)

2018 University of Madras Computer Madras University, Artificial intelligence, M.C.A degree Examination,Third Semester , December 2018. University Question paper

Course: M.C.A   University/board: University of Madras

Are you looking for the old question papers from Madras University of Artificial intelligence paper? Here is the previous year question paper from Madras University. This is the original question paper of Artificial intelligence, Third Semester exam conducted in December 2018. Feel free to download the question paper from here and use it to prepare for your upcoming exams.

Dec 2018 P/ID 17528/PCEIO
Time : Three hours Maximum : 100 marks

PART A - (6×5=30 marks)

Answer any Six questions,each in 200 words.

1. Discuss on cognitive modelling approach for human thinking.

2. Write short notes on : a) Robotics vehicles b) Speech recognition

3. Write about the Knowledge Based Agent.

4. Discuss the following a) Ontological commitment
b) Epistemological commitments

5. Give the basic steps of Planning phase and scheduling phase.

6. Write short notes on Hierarchical Planning with suitable example.

7. Explain an agent and the four major factors for their improvement.

8. Write about the smoothing and Linear interpolation smoothing.

PART B - (7×10=70 marks)

Answer any Seven questions ,each in 500 words

9. Explain the agent interact with environment through sensors and actuators.

10.a) Discuss on Discrete versus continuous distinction applies to the state of the environment.

b) Mention the five components of a problem in AI.

11. Explain the model for first order logic with suitable diagram.

12. Give a detailed note on Knowledge engineering process.

13. Explain a typical job-shop scheduling problem for assembling two cars with resource constraints.

14. Discuss on the qualification problem with given training set.

15. Explain the task of supervised learning with given training set.

16. Discuss on the learning problem classification and regression.

17. Illustrate N-gram character models with order n-1

18. Discuss the feature of robotics and it's different locomotion.

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