(A)

Consider a negotiating agent, which negotiates a deal with other agents/humans on behalf of its master user. The challenge is to design the negotiating agent in such a way that after some time its leans and predicts how the other party is going to behave or respond. The sequence of conversation and the negotiating points will help learn the agent. Which computational intelligence method(s) you will use to design and implement the agent and why? Explain with the help of a diagram(s).

(B)

Consider a case where a neural network is not properly fitting according to the provided dataset, Discuss which of the following you will use as a potential solution. (1)Change Activation Function, (2) Use the Squashing Function, or (3) Use Bias Input

(C)

In your opinion what are different possible ways to train a neural network using a genetic algorithm or artificial immune system? Discuss one in detail.

(D)

What are the features of quantum computing that can help overcome the problems of classical computing with reference to the development and implementation of artificial intelligence?