BIT Artificial Intelligence

bitsemester 4

The course introduces the concepts of artificial intelligence. It includes the basics of artificial intelligence, intelligent agents, problem solving, searching, knowledge representation systems, probabilistic reasoning, neural networks, machine learning and natural language processing.

Chapter Wise Notes Question Banks Syllabus Chapter Wise Questions Viva Practical

Institute of Science and Technology

2080

Bachelor in Information Technology

Artificial Intelligence

BIT252

Full Marks: 60

Pass Marks: 24

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

"Section A"

Long Answer Questions Attempt any TWO questions

[2 × 10 = 20]

List the properties that a machine must have to pass the Turing Test. Describe the ambiguities in each step in Natural Language Processing.

[4 + 6]

Define agent. How do you describe PEAS for an agent? Describe the different types of environment with example.

[1 + 3 + 6]

How do Depth Limited Search solve the problem of Depth First Search and discuss about its limitations? Illustrate the concept of AO* search in multiplication of any 3 matrices.

[5 + 5]

"Section B"

Short Answer Questions. Attempt any EIGHT questions

[8 × 5 = 40]

Explain the architecture of expert system.

[5]

How does Genetic algorithm work? Explain.

[5]

Discuss different types of Neural Network.

[5]

What is machine learning? Describe about NLU and NLG.

[1 + 4]