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Bbit 333: Artificial Intelligence 1St Trimester 2015 Question Paper

Bbit 333: Artificial Intelligence 1St Trimester 2015 

Course:Bachelor Of Business Information Technology

Institution: Kenya Methodist University question papers

Exam Year:2015



Introduction to artificial intelligence (CISY 422) (BBIT 333) 1ST TRIMESTER 2015
KENYA METHODIST UNIVERSITY

END OF 1'st 'TRIMESTER 2015 (PT) EXAMINATION

FACULTY : COMPUTING & INFORMATICS
DEPARTMENT : COMPUTER SCIENCE
UNIT CODE : CISY 422/BBIT 333
UNIT TITLE : INTRODUCTION TO ARTIFICIAL INTELLIGENCE
TIME : 2 HOURS


INSTRUCTIONS:

Answer question One and any other two questions
Question One (30 marks)

Give two advantages of artificial intelligence over natural intelligence.
(2 marks)
Describe the following techniques as used in knowledge acquisition.
Repertory grid
(3 marks)
Knowledge map
(3 marks)
Differentiate between existential and universal quantifiers as used in FOL
(4 marks)
Describe how BFS algorithm can be implemented with an aid of a pseudo code
(5 marks)
State four advantages of BFS describe in (d) above.
(4 marks)
Explain two warning algorithms as used in artificial neural networks.
(4 marks)
State any five applications of artificial neural networks in the real world.
(5 marks)
Question Two (20 marks)

Explain any five characteristics of intelligent agents.
(10 marks)
Describe the structure of a knowledge based system with an aid of a diagram
(8 marks)
State any two advantages of an expert system
(2 marks)
Question Three (20 marks)

Describe five logical connectives as used in propositional calculus, use appropriate symbols to illustrate your answer.
(10 marks)
Explain five advantages of machine learning as used in artificial intelligence.
(10 marks)
Question Four (20 marks)

Translate the following statements into first order predicate logic
All science courses are hard.
(3 marks)
If a course is cheap, it is an art.
(3 marks)
Cheap is expensive
(2 marks)
Explain three parameters used to evaluate search algorithms
(6 marks)
Describe three advantages of frames as used in knowledge representation.
(6 marks)






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