Q1. By using appropriate examples, define given three types of encoding which are used in genetic algorithm: Binary, Permutation and Value and Tree encoding.
Q2. Consider an Internet shopping agent and answer the given question:
a) Name the percepts for this agent?
b) Characterize the operating environment.
c) What are the actions which the agent can take?
d) How can one assess the performance of the agent?
e) What sort of agent architecture do you think is most appropriate for this agent?
Q3. In brief describe the role of CFG in Natural Language Processing. Give an appropriate illustration to describe the concept.
Q4. Write detail notes on any two of the given:
a) Multi-layered Perceptron (MLP)
b) Reinforcement learning
c) Neuro-fuzzy systems