Exam Details
| Subject | artificial intelligence | |
| Paper | ||
| Exam / Course | b.e.(computer science and engineering) | |
| Department | ||
| Organization | SETHU INSTITUTE OF TECHNOLOGY | |
| Position | ||
| Exam Date | May, 2017 | |
| City, State | tamil nadu, pulloor |
Question Paper
Reg. No.
B.E. B.Tech. DEGREE EXAMINATION, MAY 2017
Sixth Semester
Computer Science and Engineering
01UCS603 ARTIFICIAL INTELLIGENCE
(Regulation 2013)
Duration: Three hours Maximum: 100 Marks
Answer ALL Questions
PART A (10 x 2 20 Marks)
1. Define the constraint satisfaction problem.
2. Write an informal description for the general structure tree algorithm.
3. Define unification.
4. Differentiate: inference-based agents and circuit based agents.
5. What is a SATPLAN algorithm?
6. Define ontological engineering.
7. What is default reasoning?
8. What are the inferences in FOL?
9. List some applications where reinforcement learning is used.
10. What is the use of memorization?
Question Paper Code: 31263
2
31263
PART B x 16 80 Marks)
11. Discuss on different types of agent program.
Or
Explain the various informal search strategies.
12. Briefly explain the backward chaining mechanism.
Or
State and explain the various steps in knowledge engineering process.
13. Discuss the continuous planning with examples.
Or
Explain in detail about the process of scheduling with resource constraints giving suitable examples.
14. Describe the approaches to uncertain reasoning.
Or
Explain the concepts of inference in temporal models.
15. Explain in detail statistical learning methods and reinforcement learning.
Or
Discuss explanation based learning in detail.
B.E. B.Tech. DEGREE EXAMINATION, MAY 2017
Sixth Semester
Computer Science and Engineering
01UCS603 ARTIFICIAL INTELLIGENCE
(Regulation 2013)
Duration: Three hours Maximum: 100 Marks
Answer ALL Questions
PART A (10 x 2 20 Marks)
1. Define the constraint satisfaction problem.
2. Write an informal description for the general structure tree algorithm.
3. Define unification.
4. Differentiate: inference-based agents and circuit based agents.
5. What is a SATPLAN algorithm?
6. Define ontological engineering.
7. What is default reasoning?
8. What are the inferences in FOL?
9. List some applications where reinforcement learning is used.
10. What is the use of memorization?
Question Paper Code: 31263
2
31263
PART B x 16 80 Marks)
11. Discuss on different types of agent program.
Or
Explain the various informal search strategies.
12. Briefly explain the backward chaining mechanism.
Or
State and explain the various steps in knowledge engineering process.
13. Discuss the continuous planning with examples.
Or
Explain in detail about the process of scheduling with resource constraints giving suitable examples.
14. Describe the approaches to uncertain reasoning.
Or
Explain the concepts of inference in temporal models.
15. Explain in detail statistical learning methods and reinforcement learning.
Or
Discuss explanation based learning in detail.
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Subjects
- applied statistics and queuing networks
- artificial intelligence
- building enterprise applications
- c# and .net framework
- cloud computing
- computer communication and networks
- computer networks
- computer organization and architecture
- data structures
- data warehousing and data mining
- database management systems
- database system concepts
- design and analysis of algorithms
- discrete mathematics
- distributed systems
- environmental science and engineering
- fundamentals of information security
- fundamentals of mobile computing
- human computer interaction
- information storage management
- interactive computer graphics
- internet of things
- java programming
- microprocessors and microcontrollers
- multimedia
- object oriented analysis and design
- object oriented programming
- object oriented programming with c++
- operating systems
- principles of compiler design
- probability statistics and queuing systems
- project management and finance
- python programming
- qualitative and quantitative aptitude
- reasoning and quantitative aptitude
- software engineering
- software testing
- theory of computation
- transforms and partial differential equations
- value education and human rights
- web programming