SCSJ3553 - Artificial Intelligence Final Exam paper - UTM punye

1. SECTION A : True / False
TOTAL 10 MARKS
Answer TRUE or FALSE for the following and justify your answer by stating the reason
for each answer. There are 5 questions in this section. Each question carries 2 marks.
1. Depth first search will perform best if the goal state lies in upper left-hand side of the tree.
2. Alpha-beta pruning is a procedure to reduce the amount of computation and searching
during minimax.
3. A recursive procedure breaks a large and difficult problem into smaller problems.
4. The concept of frames in AI is similar to that of files in data organization.
5. One of applications of machine learning to large databases is web mining such as Google.
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2. SECTION B : Short Explanation Questions
TOTAL 10 MARKS
Answer each question in the space provided. There are 5 questions in this section. Each
question carries 2 marks.
1. A heuristic evaluation function f(n) may be calculated using the formula f(n) = g(n) +
h(n). In the 8-puzzle game h(n) can be:
a) _____________________________________________________________________
b) _____________________________________________________________________
2. What are the 2 rules for alpha beta pruning to stop the searching?
3. Explain the difference between forward and backward chaining. How do we choose
between forward and backward chaining?
4. State the similarities and differences between a semantic network and a conceptual graph.
5. In crime domain, what machine learning applications can be applied to assist in the
detection of criminals?
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3. SECTION C : Structured Questions
TOTAL 80 MARKS
Answer all questions in the space provided. There are 4 questions in this section. Use extra
paper(s) if necessary. Each question carries a total of 20 marks.
Question 1 (a) – Uninformed Search
Total 10 marks
Based on Figure: 1, answer questions (i) to (iii).
S
A
H
D
B
I
F
F
F
P
Q
G
Figure: 1
i) Perform a Breadth-First search on the above tree. List the nodes on OPEN and CLOSED
for each iteration. S = Start, and F = Goal.
Iteration
ii)
OPEN
[ 3 marks ]
CLOSED
The Breadth-First search algorithm can be implemented in a
___________________________________ order or with a __________.
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[1.5 marks]
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4. iii)
Perform a Depth-First search on the above tree. List the nodes on OPEN and
CLOSED for each iteration. S = Start, and F = Goal.
Iteration
iv)
OPEN
CLOSED
The Depth-First Search algorithm can be implemented in a
___________________________ order or with a ________.
v)
[ 3 marks ]
[1.5 marks]
In Sudoku game application which search technique is better to be applied (Best first
or depth first search ? ). Give a short reason why (BFS/DFS) is more suitable for
Sudoku.
[ 1 marks]
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5. Question 1(b) – Informed Search
Total 10 marks
Figure: 2 shows a tree where each node is assigned a heuristic value. Based on this tree,
answer questions (i) to (iii).
A, 3
B, 3
C, 2
D, 2
H, 1
N, 0
E, 3
I, 2
O, 0
F, 1
J, 1
K, 0
P, 2
G, 2
L, 1
M, 2
Q, 2
R, 2
S, 3
Figure: 2
i)
Apply the Best-First search from the start state A to reach to the goal state, K. Show
all the steps you will perform by filling in the table below.
Node Evaluated
ii)
OPEN
[4 marks]
CLOSED
What is the solution path for the Best-First search performed on this tree?
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[1 mark]
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6. iii)
What are the evaluation function that is the f(n) values for nodes A, B, G, I and Q? Show how
you obtain each value.
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[5 marks]
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7. Question 2a – Minimax Search
Total 10 marks
Refer to Figure: 3 to answer this question.
MAX
3
6
7
5
6
9
5
6
7
4
5
6
8
9
Figure: 3
Apply the minimax algorithm to the game tree in Figure: 3 above, where it is the
MAXIMIZER’s turn to play. The values estimated by the evaluation function are indicated at
the leaf nodes. Assume that the search always visits children left-to-right.
Compute the backed-up values computed by the minimax algorithm. Show your answer by
writing values at the appropriate nodes in the above tree.
[7m]
a. Indicate the proper move of the maximizer by marking the line with bold indicator
(
) to the root’s outgoing edges.
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[3m]
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8. Question 2b – Alpha-Beta Pruning
Total 10 marks
Refer to Figure 3 above, answer the following questions
a. Using alpha-beta pruning (and standard left-to-right evaluation of nodes), how many of the
leaves get evaluated?
b. Indicate all parts of the tree that are cut off.
[4m]
[3m]
c. if the standard right-to-left evaluation of nodes is applied to the search tree in Figure 3
above:
i.
are the minimax value computed at the root will be changed. (just write down yes or
no)
ii.
[1.5m]
are the number of nodes pruned will be changed. (just write down yes or no) [1.5m]
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9. Question 3 (a) – 15 marks
A production system maintains a set of rules about the characteristics of fruits as follows:
Rule 1:
IF
THEN
Rule 2:
IF
THEN
Rule 3:
IF
Shape = long AND
Colour = green OR yellow
Fruit = banana
Shape = round OR oblong AND
Diameter > 4 inches
Fruitclass = vine
THEN
Shape = round AND
Diameter < 4 inches
Fruitclass = tree
Rule 4:
IF
THEN
Seedcount = 1
Seedclass = stonefruit
Rule 5:
IF
THEN
Seedcount > 1
Seedclass = multiple
Rule 6:
IF
Fruitclass = vine AND
Colour = green
Fruit = watermelon
THEN
Rule 7:
IF
THEN
Rule 8:
IF
THEN
Rule 9:
IF
THEN
Rule 10:
IF
THEN
Rule 11:
IF
THEN
Fruitclass = vine AND
Surface = smooth AND
Colour = yellow
Fruit = honeydew
Fruitclass = vine AND
Surface = rough AND
Colour = tan
Fruit = cantaloupe
Fruitclass = tree AND
Colour = orange AND
Seedclass = stonefruit
Fruit = apricot
Fruitclass = tree AND
Colour = orange AND
Seedclass = multiple
Fruit = orange
Fruitclass = tree AND
Colour = red AND
Seedclass = stonefruit
Fruit = cherry
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10. Rule 12:
IF
THEN
Rule 13:
IF
THEN
Rule 14:
IF
THEN
i)
Fruitclass = tree AND
Colour = orange AND
Seedclass = stonefruit
Fruit = peach
Fruitclass = tree AND
Colour = red OR yellow OR green AND
Seedclass = multiple
Fruit = apple
Fruitclass = tree AND
Colour = purple AND
Seedclass = stonefruit
Fruit = plum
Use FORWARD CHAINING to describe the production system table including its
working memory, conflict set and rule fired to establish a fruit. Initial data given is :
Shape = round
Diameter > 4 inches
Surface = smooth
Colour = yellow
Terminate when the final value for Fruit in the working memory.
Iteration
#
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Working memory
[6 marks]
Conflict
set
Rule
fired
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11. ii)
Given the fruit to search is apple, use BACKWARD CHAINING to describe the
production system table including its working memory, conflict set and rule fired to
establish the initial data for this fruit.
State the initial facts required to establish that the fruit searched is an apple. [9 marks]
Iteration
#
Working memory
Conflict
set
Rule
fired
The initial facts required to establish fruit to search is apple are:
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12. Question 3 (b) – 5 marks
i) How is blackboard systems related to production systems? Give a diagrammatic
example of such an application.
[2.5 marks]
ii) How can the concept of agents be applied in the blackboard architecture? [2.5 marks]
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13. Question 4 (a) – 10 marks
Develop a knowledge representation by drawing a SEMANTIC NETWORK to model the
classification of musical instruments as described below.
Musical Instruments are classified according to five major categories namely
Idiophones, Membranophones, Aerophones, Chordophones and Electrophones.
Idiophones are played by striking, shaking, plucking, or rubbing. Examples of
struck idiophones are bells and cymbals. Shaken Idiophones are rattles.
Examples of plucked idiophones are harps.
Membranophones are played by striking or rubbing. Examples are kettledrums
and snare drums. They are played by striking on them. Membranophones are
made from stretched skin or membrane.
Aerophones are played by blowing or breathing. Trumpets and Horns players
must blow or compress their lips to set the air into motion. For flutes, the
player’s breath is directed against the sharp edge of a hole to set the air into
motion.
Chordophones may be plucked or bowed. Examples are Harps.
Electrophones are played using electronic circuits. Examples are Electric guitar.
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14. Question 4 (b) – 10 marks
Model your knowledge by assembling the partial description given about Multiple
Intelligences below into a STRUCTURED FRAME-BASED representation.
Gardner (1983) introduced the Theory of Multiple Intelligences which meets
with the criteria for a behavior to be intelligent. He believes that there are 8
types of intelligences: Spatial, Linguistic, Logical-mathematical, Bodily-kinesthetic,
Musical, Interpersonal, Intrapersonal and Naturalistic.
Spatial intelligence deals with spatial judgment, and ability to visualize with
the mind’s eye. Potential careers for them are Architect, Artist, and Engineer.
Linguistic intelligence deals with spoken or written words. Potential careers for
them are Writer, Lawyer and Teacher.
Logical-mathematical intelligence deals with logic, abstractions, reasoning and
numbers. Potential careers for them are Scientist, Mathematician, Computer
programmer, and Engineer.
Intrapersonal intelligence deals with introspective and self-reflective capacities.
Potential careers for them are Philosopher, Writer, Theorist and Scientist.
Naturalistic intelligence deals with the ability to recognize and categorize
plants, animals and other objects in nature. Potential careers for them are
Farmers, Botanists and Chef.
Note: The JOB frame will only cater for job titles that are in italics i.e. Engineer, Writer,
Scientist and Chef.
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