Define agent. How do you describe PEAS for an agent? Describe the different types of environment with example. [10]
Expert System
1.
Explain the architecture of expert system. [5]
Introduction
1.
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]
Knowledge Representation
1.
Distinguish between backward chaining and forward chaining with an example. [5]
2.
Represent the following sentences into semantic network: a. All animals and plants are living things. b. Rose is a plant. c. All plant prepare food using photosynthesis process. d. Carnivorous animal don't eat plant. e. Tiger is carnivorous. [5]
3.
Explain about belief network with an example. [5]
Machine Learning
1.
How does Genetic algorithm work? Explain. [5]
Natural Language Processing
1.
What is machine learning? Describe about NLU and NLG. [5]
Neural Network
1.
Discuss different types of Neural Network. [5]
Problem Solving by Searching
1.
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. [10]
2.
Define game. Give a state space representation of any problem you know. [5]
3.
Discuss about Hill climbing search with its limitations. [5]