# BE (PU) Question Paper 2068 – Artificial Intelligence & Neural Network | 8th SEM

## Pokhara University | Old is Gold Question Paper of Artificial Intelligence and Neural Network Year: 2068 (2012) | Level: Bachelor (Computer Engineering)

Level: Bachelor | Semester – Eight | Programme: Bachelor of Engineering (BE)
Course: Artificial Intelligence and Neural Network
Pass Marks: 45 | Full Marks: 100 | Time : 3hrs.

Candidates are required to give their answers in their own words as far as practicable. The figures in the margin indicate full marks.

## Attempt all the questions.

1. a) How can we formulate a problem? Formulate the water-jug problem. [6]
b) What is the role of planning in problem solving? Point out the problem in linear planning using the example of the Sussman anomaly. [9]
2. a) Define Artificial Intelligence. What capabilities must a machine possess to be called it as intelligent? Explain. [7]
b) What are the drawbacks of propositional logic? Let us consider there are two restaurants A and B. A has a signboard saying “good food are not cheap” and B has a signboard saying “cheap food are not good”. Are both restaurants saying same thing?  [8]
3. a) Let us consider we have following facts about Kabita: [8]
i. Kabita likes only easy courses.
ii. All science courses are hard.
iii. All arts courses are easy.
iv. A101 is an arts course.
v. S202 is a science course.
Use the resolution to answer the question: – which course does Kabita like?
b) With an example explain the mini-max procedure. Why is the mini-max procedure inefficient? How can it be made efficient? Explain.  [7]
4. . a) Why do we need to reason on uncertainty? What is a Bayesian network? Explain with an example. [7]
b) Define concept learning. Discuss about the Winston learning with example.  [8]
5. a) Describe about learning by analogy with example. [7]
b) Define Artificial Neural Network. Describe the structure and learning algorithm of Adaline.  [8]
6. . a) Describe the basic architecture of expert system. [7]
b) Describe the basic steps in natural language processing. Draw a parse tree for a sentence:  [8]
7. Write short notes on any two: [2 X 5 = 10]
a) Semantic Net
b) Genetic Algorithm
c) Knowledge Acquisition

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