For an AI agent, the rational action is most important because in AI reinforcement learning algorithm, for each best possible action, agent gets the positive reward and for each wrong action, an agent gets a negative reward. Note: Rational agents in AI are very similar to intelligent agents. ...
2. Model-based reflex agent The Model-based agent can work in a partially observable environment, and track the situation. A model-based agent has two important factors: Model:It is knowledge about "how things happen in the world," so it is called a Model-based agent. Internal State:It ...