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CS/TEST 1/NOV2020/CSC583
UNIVERSITI TEKNOLOGI MARA
TEST 1
COURSE
: ARTIFICIAL INTELLIGENCE ALGORITHMS
COURSE CODE
: CSC583
SEMESTER
: OCT 2020 – FEB 2021
TIME
: 2 HOURS
INSTRUCTIONS TO
1.
2.
CANDIDATES:
This question paper consists of FOUR (4) questions.
Answer all questions.
Name
:
MUHAMMAD LUQMAN HASIF BIN SUFIAN
Student No
:
2019423306
..
Group
:
A4CS2303A
..
Lecturer’s Name
:
SHAHIRAH BINTI MOHAMED HATIM
..
For Examiner’s Used
Only
1
2
3
4
Total
© Hak Cipta Universiti Teknologi MARA
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CS/TEST 1/NOV2020/CSC583
SELF DECLARATION
1. I know that plagiarism is wrong. Plagiarism is to use another’s work and pretend that it is one’s own.
2. This assignment/project/test/quiz/final assessment is my own work.
3. I have not involved, and will not allow, anyone to copy my work with the intention of passing it off as
their own work.
4. I acknowledge that copying someone else’s work (or part of it) is wrong and declare that my
assignment/project/test/quiz/final assessment is my own work.
I hereby declare as stated
QUESTION 1
a) Consider the following statement:
“Artificial Intelligence is a science that has defined its goal as making machines do
things that would require intelligence if done by humans.”
i)
Define Artificial Intelligence (AI).
(2 marks)
Artificial intelligence is an area of computer science that create a
machine with ability to work, react like a human, making decision
and solving problem.
ii)
Discuss on the brief history of AI.
(2 marks)
AI started to be created in 1950 by
scientist from conducting Turing Test.
iii)
Discuss THREE (3) advantages of Artificial Intelligence.
(3 marks)
a) AI can help to ease human’s workload.
b) AI can be use in most sectors such as engineering .
c) AI can reduce human’s mistakes during working.
iv)
Discuss THREE (3) state-of-the-art in the Artificial Intelligence.
a)
Artificial Intelligence (AI) have been widely used in medical industry to PathAI.
b)
AI is used to store medical datasets.
c)
AI helps doctor to diagnose more easily and accurate.
(3 marks)
© Hak Cipta Universiti Teknologi MARA
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CS/TEST 1/NOV2020/CSC583
b) Turing Test is a test of a machine’s ability to demonstrate intelligence.
i)
Explain the TWO (2) phases of the Turing Imitation game based on the above
figures.
The left picture shows a woman and a man trying to prove that they ar a woman. The
interrogator will determine which is the real woman by asking some questions. In the next
picture, there is a woman and a machine. The machine and the woman will try to prove that
they are a woman. The interrogator will determine which is the real woman. If the machine
successfully fools the interrogator then the machine pass the Turing Test.
(4 marks)
ii)
Human level performance can be achieved in certain cognitive tasks by the Turing
Test. Discuss TWO (2) examples of the cognitive tasks.
Machine learning and automated reasoning.
(4 marks)
© Hak Cipta Universiti Teknologi MARA
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QUESTION 2
a) Figure below illustrates the Expert System Development Team.
a)
Explain who are A and B, what are their roles are and how they support each other in Expert
System development process?
A is domain expert which is knowledgeable and expert in problem solving in specific area
person and B is knowledge engineer which is a person that is an expert in designing and
building program into the program system that use AI.
(4 marks)
5
CS/TEST 1/OCT 19/CSC583
Draw a simple structure of a Rule-Based Expert System. Please ensure important
components are drawn properly
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b)
.
(4 marks)
6
Given these facts in working memory initially (database):
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c)
the animal gives milk
the animal chews its cud
the animal has long legs
the animal has a long neck
and given the following information in the Rule-Based Expert System:
R1
IF
THEN
the animal has hair
it is a mammal
R2
IF
THEN
the animal gives milk
it is a mammal
R3
IF
THEN
the animal has
feathers it is a bird
R4
IF
the animal flies
the animal lays eggs
it is a bird
THEN
R5
IF
THEN
R6
IF
THEN
R7
IF
THEN
R8
IF
THEN
R9
IF
THEN
R10
R11
IF
the animal is a mammal
the animal eats meat
it is a carnivore
the animal is a mammal
the animal has pointed teeth
the animal has claws
the animal's eyes point forward
it is a carnivore
the animal is a mammal
the animal has hooves
it is an ungulate
the animal is a mammal
the animal chews cud
it is an ungulate AND
it is even-toed
the animal is a carnivore
the animal has a tawny colour
the animal has dark spots
it is a cheetah
THEN
the animal is a carnivore
the animal has a tawny colour
the animal has black stripes
it is a tiger
IF
the animal is an ungulate
the animal has long legs
THEN
the animal has a long neck
it is a giraffe
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R12
R13
IF
the animal is an ungulate
the animal has a white colour
the animal has black stripes
THEN
it is a zebra
IF
the animal is a bird
the animal does not fly
the animal has long legs
the animal has a long neck
the animal is black and white
it is an ostrich
THEN
R14
IF
THEN
R15
IF
THEN
CS/TEST 1/OCT 19/CSC583
the animal is a bird
the animal does not fly
the animal swims
the animal is black and white
it is a penguin
the animal is a bird
the animal is a good flier
it is an albatross
Establish the animal is a giraffe by using a forward chaining technique that based on the rules. Draw a
simple forward chaining diagram to illustrate the relationships between the rules involved. Determine
the goal, number of rules fired and new facts.
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(10 marks)
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QUESTION 3
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CS/TEST 1/OCT 19/CSC583
a) What is Fuzzy Logic? Differentiate it with the Boolean Logic.
Fuzzy logic is a set of mathematical principles for knowledge representation based on degrees of
membership. Fuzzy logic can be partly true and partly false at the same time while Boolean logic is
either true or false value.
(4 marks)
b) Discuss a simple application that implements Fuzzy Logic.
Sets of tall men where men’s height is measured and recorded. Next, calculate the degree of
membership from the data. Lastly, a graph is plotted where y-axis represents height while x-axis
represents degree of membership.
(4 marks)
1
1
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QUESTION 4
a)
CS/TEST 1/OCT 19/CSC583
Explain Artificial Neural Network.
ANN is a model of reasoning based on human’s brain where it consists of neurons.
b)
(2 marks)
Discuss the difference between ANN and deep learning. You may use diagram to illustrate
your answer.
ANN can learn and make decisions almost like humans while deep learning learn and make
decisions based on data.
(4 marks)
c)
Consider the following diagram:
The node has three inputs, X = ( X1, X2, X3 ) that receive only binary signals (either 0 or 1) and
the corresponding weights to the three inputs are:
W1 = 3
W2 = -5
W3 = 1
And the activation function information given as:
Calculate the output value ( Y ) for each of the following input patterns:
Pattern
X1
X2
X3
P1
0
1
0
P2
0
1
1
P3
1
1
0
P4
0
0
1
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END OF QUESTION PAPER
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