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Artificial Intelligence Y4s1 Question Paper

Artificial Intelligence Y4s1

Course:Bachelor Of Computer Science

Institution: Kabarak University question papers

Exam Year:2011

KABARAK UNIVERSITY
UNIVERSITY EXAMINATIONS
2010/2011 ACADEMIC YEAR
FOR THE DEGREE OF BACHELOR OF COMPUTER SCIENCE
COURSE CODE: COMP 413
COURSE TITLE: ARTIFICIAL INTELLIGENCE
STREAM: Y4S1
DAY: FRIDAY
TIME: 2.00 – 4.00 P.M.
DATE: 18/03/2011

INSTRUCTIONS:
Answer question ONE in section A and any other TWO question in section B

Section A: Answer question One (30 marks)
Read rule below and answer the questions that follow:
R1: if blood test results is = “YES”
THEN there is 0.8 the evidence that disease is “malaria”
R2: if malaria zone = “YES”
THEN there is 0.5 evidence that the disease is malaria
R3: if bit by a flying bug is “True”
Then there is 0.3 evidence that disease is “malaria”
What certainty factors will be computed for malaria by the expert system IF:
a) The first two rules considered to be true (4mks)
b) All the three rules are considered to be true (4mks)
c) The objective of an expert system is to transfer expertise from an expert to a computer
and then to other humans or non-experts. Explain the processes that are involved. (8mks)
d) Discuss the main branches of artificial intelligence (8mks)
e) What are the application problem domain areas for artificial intelligence? (6mks)

SECTION B: Answer any two questions
Question Two (20 marks)
a) Using a relevant diagram explain the structure of expert systems (8mks)
b) List four characteristics of expert systems (4mks)
c) Describe the benefits of expert systems to industry (8mks)
Question Three (20 marks)
a) Using relevant examples describe the following four basic kinds of agent program that
embody the principles underlying intelligence systems (8mks)
(i) Simple reflex agent

(ii) Model based reflex agent
(iii) Goal-based agent
(iv) Learning agent
b) Explain four characteristics of intelligent agents (4mks)
c) Describe how intelligent agents are used for network management (4mks)
d) Robots require intelligence to handle many tasks. List any four (4mks)
Question Four (20 marks)
a) Explain the three learning paradigms for artificial neural networks (6mks)
b) What are the common features of artificial neural networks (6mks)
c) Draw a simplified Mcculloch-Pits neuron and explain its relationship with the biological
neuron (8mks)

Question Five (20 marks)
a) Explain three reason as to why natural language processing is a challenge to researchers (6mks)
b) Describe any five stages in natural language understanding (5mks)
a) What are the major applications of natural language processing? (4mks)
b) Explain Three advantages and Two disadvantages of rules as used in Artificial intelligence
(5mks)

Artificial Intelligence Y4s1 Question Paper

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