Artificial Intelligence

crazymeasleAI and Robotics

Oct 15, 2013 (3 years and 10 months ago)

87 views


1

POKHARA UNI VERSI TY


Level: Bachelor

Semester


Fall

Year : 20
10

Programme:
BE

Full Marks: 100


Pass Marks : 45

Course:
Artificial Intellig
ence

Time : 3hrs.


Candidates are required to give their answers in their own words as far
as pra
cticable.

The figures in the margin indicate full marks.

Attempt all the questions.


1.


a)

Define intelligent
-
Agent.

Machines can be made intelligent
artificially but ultimately persons make the machines. So who is
more intelligent
-

the artificial machine o
r the person? Discuss.

b)

Analyze and explain the water jug problem with respect to the
seven problem characteristics.

7




8

2.


a)

What are the different types of task environments and their
relevance to the performance of the rational agent based on the
PEAS fr
amework?

b)

Explain learning by a
nalogy and learning by simulati
n
g

evolution in
machine learning.

8



7

3.


a)

" Constraint satisfaction is a search procedure that operates in a
space of constraint sets" . Justify this statement with an example.

b)

Explain the differ
ent approaches to knowledge re
presentation. List
out the issues that should be raised when using a knowledge
representation technique.

8



7

4.


a)

Assume the following facts :



Steve only likes easy courses.



Science courses are hard.



All the courses in the bask
et weaving department are
easy.



BK 301 is a basketweaving course.

Use resolution to answer the question, " What course would
Steve like?"

b)

Briefly explain the Unification of algorithm.

10











5


2

5.


a)

Discuss and compare hill climbing and best first search

techniques.

b)

Compare forward reasoning versus backward reasoning. Discuss
the situations that acknowledge the choice for forward or backward
reasoning.

7


8


6.


a)

Transform each of the following sentences into conjunctive normal
form.

i.


ii.

P

b)

What is Natural Language processing? Explain Morphological
Analysis.

7






8


7.


Write short notes : (
Any Two
)

a)

Expert System and its
i
mplementation

b)

Mundane and Expert Reasoning

c)

Bayesian Probabilistic inference

2

×

5