1.
What will take place as the agent observes its interactions with the world?
2.
Which modifies the performance element so that it makes better decision?
3.
What is used in determining the nature of the learning problem?
4.
Which is used for utility functions in game playing algorithm?
5.
Which is used to choose among multiple consistent hypotheses?
6.
What will happen if the hypothesis space contains the true function?
7.
What takes input as an object described bya set of attributes?
8.
How the decision tree reaches its decision?
9.
What will take place as the agent observes its interactions with the world?
10.
Which modifies the performance element so that it makes better decision?