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Cisy 427:Expert Systems Question Paper

Cisy 427:Expert Systems 

Course:Computer Science

Institution: Kenya Methodist University question papers

Exam Year:2012



Expert systems (CISY 427) 3RD TRIMESTER 2012

KENYA METHODIST UNIVERSITY

END OF 3''RD ''TRIMESTER 2012 (EVENING) EXAMINATIONS
FACULTY : COMPUTING AND INFORMATICS
DEPARTMENT : COMPUTER SCIENCE AND BUSINESS
INFORMATION
UNIT CODE : CISY 427
UNIT TITLE : EXPERT SYSTEMS
TIME : 2 hours




Instructions:

Answer question and any other two questions.

Question One

Define expert systems.

(2 marks)

Explain why expert systems are disabled as domain specific.

(2 marks)

Explain why the elicitation of knowledge from experts requires special skills.

(3 marks)

Explain the ways in which expert systems differ from other A.I applications.

(6 marks)

Explain four categories of expert systems.

(4 marks)

Provide an example to show how reasoning through form and change tasks place.

(6 marks)

Consider a case where a medical expert system is to be built. Explain him the following aspects of the shell will be constructed putting an emphasis on the components.

(6 marks)

User interface
Inference engine
Knowledge base

Describe reasoning via Modus Ponens.

(1 mark)

Question Two (20 marks)

Logic programming offers formalism for specifying formals in terms of logical relation between entities. In light of the above, describe the purpose of the following:

Logic progin

(2 marks)

Computation

(2 marks)

Discuss any four aspects of human intelligence that could be used to characterize intelligent knowledge based systems.

(4 marks)

Explain the difference between inductive and deductive reasoning.


(4 marks)

Assume the Kenya Government has sought your advice on how to design, implement and install an expert system to control traffic on major round about in Nairobi. Provide this guideline.

(8 marks)

Question Three

Knowledge based systems can be developed for any domain with reliance on the experts expertise. However, developing a KBS for a din am that heavily relies on that and implicit knowledge is difficult. Discuss

(8 marks)

Mr. Opondi is a man who has a special interest in birds. He keeps fouls pigeon, hens and doves. The doves are white and all have sharp beaks. Each pigeon is multicolored and takes a lot of water from the well dug in the compound. The fouls mostly feed by themselves but are very particular on where they spend being the smart wooden structure behind the main building. Draw a semantic network for this scenario.

(12 marks)

Question Four

Explain the major short come of the MYCIN expert system designed in the 1970s.

(2 marks)

You have been contracted to develop a finance expert system for KeMU. What measures will you put in place to increase the reliability of decision making of the system.

(4 marks)

Discuss the knowledge engineering process.

(8 marks)

Expert systems depend largely on knowledge fed in via a knowledge engineer. Explain the challenge of this dependency on herd coded knowledge.

(4 marks)

Explain the challenges that are associated with knowledge representation.

(2 marks)

Question Five

Discuss the reasons why there are not many knowledge engineers.

(5 marks)

Outline any three knowledge acquibition techniques.

(3 marks)

Both knowledge engineer and system engineer are responsible for maintaining this knowledge base with the current and relevant knowledge base with the current and relevant knowledge for the specific domain. Describe any three methods they can employ to make sure that knowledge base is up-to-date.

(6 marks)

Discuss the disadvantages of expert systems.

(6 marks)






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