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Bit2305:Human Computer Interaction Question Paper
Bit2305:Human Computer Interaction
Course:Bachelor Of Information Technology
Institution: Meru University Of Science And Technology question papers
Exam Year:2012
1
a. Define the following terms as used in knowledge based systems. (8 Marks) i. Knowledge based systems ii. Expert systems iii. Conditional probability iv. Compound probability b. Briefly discuss three components of knowledge based systems. (6 Marks) c. Briefly explain the proposition logic. (2 Marks) d. For the following applications, would it be better to used expert systems, neutral networks or a convectional database management system? Explain your answer clearly listing exceptions. (8 Marks) i. Diagnosis of a well established but not complex disease such as anthrax ii. Price lookup system in a high volume online store iii. Automated voice enquiry processing system iv. Training new employees e. Discuss the differences between expert system and convectional computer programs explaining for the type of problems you would use expert system and their limitations. (6 Marks)
QUESTION TWO – 20 MARKS
a. Describe the inference process. (2 Marks) b. Describe the three reasoning methods that could be applied to a set of premises during inference process. (6 Marks) c. Briefly explain two areas where knowledge based systems cannot be used. (4 Marks) d. Briefly explain two advantages of approximate reasoning. (4 Marks) e. Use an example to illustrate your answer, explain the difference between facit and explicit knowledge. (4 Marks)
2
QUESTION THREE – 20 MARKS
a. Define the term knowledge exchange. (2 Marks) b. Explain three methods by which knowledge could be captured. (6 Marks) c. Draw an AND/OR graph to represent the following fire hazard rules: (4 Marks) R1 if FUEL and HEAT and OXYGEN then FIRE R2 if GAS and COMBUSTIBLE then FUEL R3 if ELECTRICITY then HEAT R4 if FRICTION then HEAT
d. Explain two problems of approximate reasoning. (2 Marks) e. Discuss three advantages of certainty factors. (6 Marks)
QUESTION FOUR – 20 MARKS
a. (4 Marks) b. Explain the adaptive retrieval techniques. (4 Marks) c. Explain why it would be difficult to develop a KBS for a domain in which there were a considerable reliance on facit and implicit knowledge. (4 Marks) d. Expert system development incorporate various professionals of diverse knowledge and experience: i. List the persons who play key roles in determining the success or failure of an expert system. (4 Marks) ii. Briefly describe how they can guarantee the failure or an expert system project. (4 Marks)
QUESTION FIVE – 20 MARKS
a. Explain the following terms in reference to knowledge based systems: (6 Marks) i. Data mining ii. Knowledge extraction iii. Knowledge fusion
b. Explain the simplistic rule based pattern matching. (4 Marks) c. Explain two guidelines for pattern matching. (4 Marks) d. One popular probability problem is to roll a die. A standard die has six sides with numbers 1, 2, 3, 4, 5 and 6. If the die is fair, then each of the outcomes are equally likely. With this knowledge we can calculate all sort of two dice probability problems. i. Two fair six side dice are rolled, what is the probability that the sum of the two dice is seven. (2 Marks) ii. Formulate the rules for the management to make it proper as sound decision using the following variables: (4 Marks) Credit score Credit ratio Credit credit Decision
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