An intelligent agent may have to learn, for instance, the following components:

A direct mapping from conditions on the current state to actions

A means to infer relevant properties of the world from the percept sequence

Information about the way the world evolves and about the results of possible actions the agent can take

Utility information indicating the desirably of world states

Action-value information indicating the desirably of actions

Goals that describe classes of states whose achievement maximizes the agent’s utility

The agent which learns through observation is called learning agent.