SRM University 2007 B.Tech Computer Science and Engineering BANMK : : ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS - Question Paper

1. discuss in detail about Non Monotonic Reasoning with an example.
2. define the logics for NMR.
3. Sketch in detail about DFS and BFS implementation of NMR.
4. State how JTMS can be used to solve medical diagnosis.
5. Show how TMS are useful tools in solving constraint satisfactions issues.
6. discuss in detail about minimax procedure.
7. discuss the effect of Alpha beta cut off over minimax.
8. How would the minimax procedure have to be replaced to be used by a program playing 3
or four persons instead of two persons.
9. discuss in detail about components of planning system.
10. discuss about different planning systems with improper examples.
11. What is understanding and state what makes it hard to understand.

Unit IV
PART- A
1. What are expert systems?
2. What are the most important aspects of expert system?
3. What are the characteristics of expert system?
4. Sketch the general features of expert system?
5. Who are all involved in the expert system building?
6. discuss the role of domain expert?
7. Explain the role of knowledge engineer?
8. What is the use of expert system building tool?
9. Compare the merits of human over artificial expertise?
10. Compare the merits of artificial over human expertise?
11. Give the structure of an expert system?
12. Define knowledge base, facts, rules, interpreter, scheduler and inference engine?
13. What are various ways of representing knowledge?
14. discuss rule based knowledge representation?
15. provide an example for representing knowledge using semantic nets?
16. provide an example for representing knowledge using frames?
17. Explain the knowledge acquisition process?
18. Explain the approaches in interviewing the expert?
19. What is meant by protocol analysis?
20. What is the use of expert system tools?
21. Name the programming languages used for expert system applications?
22. elaborate the kinds of tools available for expert system building?
23. Explain AGE?
24. What are the typical components of an expert system support environment?
25. Explain debugging aids, I/O facilities, explanation facilities and knowledge based editors?
26. What are the stages in the development of Expert System Tools?
27. Name the programming methods supported by expert system tools?
28. What are the knowledge representations supported by expert system tools?
29. Explain the tools AL/X EMYCIN,EXPERT,LOOPS, MRS, OPS5, ROSIE, SRL
30. What are the applications of EMYCIN?
31. What are the applications of EXPERT?
32. What are the applications of ROSIE?
33. What are the applications of OPS5?
34. Explain symbolic reasoning?
35. Explain blackboard architecture?
36. Explains semantic net.
37. Explain the subsequent terms: Backward chaining, Database, forward chaining, frame, inference chain, slot, rule and natural language.
38. Explain reasoning.
39. Explain end user.
40. Explain heuristic rule with an example.
41. What is the need for expert system tool while building expert system.


PART B

1. Explain rule based systems with example.
2. Explain in EMYCIN and write its applications.
3. Explain associative nets with example.
4. Explain in EXPERT and write its applications.
5. Explain in ROSIE and write its applications.
6. In detail discuss blackboard architecture.
7. Explain in OPS5 and write its applications.
8. Elaborately discuss the process of knowledge acquisition.
9. Explain the different stages in development of ES tools.



UNIT V
PART-A

1. What are the phases in Expert system development?
2. Explain identification phase.
3. Explain conceptualization phase.
4. Explain formalization phase.
5. Explain implementation and testing phases.
6. Describe demonstration prototype.
7. Describe research prototype.
8. Describe field prototype.
9. What is meant by production prototype?
10. What is meant by commercial system?
11. When is Expert System Development Possible?
12. When is Expert System Development justified?
13. When is Expert System Development appropriate?
14. What are the ques. to ask when selecting an Expert system tool?
15. What are the limitations of expert systems?
16. elaborate the issues the company faces when trying to apply expert system?
17. What are the common pitfalls in planning an expert system?
18. What are the pitfalls in dealing with the domain expert?
19. What are the pitfalls during the development process?
20. Where is expert system work being done?
21. What is meant by a commercial expert system?
22. Name any 2 expert system used in research?
23. Name any 2 expert system used in business?
24. Explain XCON?
25. Name any 3 universities and mention the expert system tools developed there?
26. Name any 3 research organization and mention the expert system tools developed there?
27. Explain Intellicorp?
28. Explain CGI?
29. Explain Syntelligence?
30. Explain teknowledge?


PART-B
1. discuss the tasks involved in building expert system?
2. discuss the different stages of expert system development?
3. discuss the difficulties involved in developing an expert system?
4. elaborate common pitfalls in planning an expert system?
5. discuss the pitfalls in dealing with the domain expert?
6. discuss the pitfalls during the development process?
7. discuss expert system work at universities and research organizations?
8. discuss expert system work at knowledge engineering companies?
9. What is meant by high performance expert system? How is it used in research and in business?
10. In detail discuss XCON?

Earning:   Approval pending.