A rational agent is a person or entity, based on realistic MODELS, that has preferences for advantageous outcomes and will try to achieve them in all scenarios. A rational agent is one who has defined preferences, models UNCERTAINTY and acts in such a way that its performance measure is maximized using all available actions. The proper things are stated to be done by a reasonable agent. AI is concerned with the development of rational agents for application in game theory and decision theory in a variety of real-world contexts. The rational ACTION is the most crucial for an AI agent because, in an AI reinforcement learning algorithm, an agent receives a positive reward for each best FEASIBLE action and a negative reward for each incorrect action. 

Rationality is the ability to remain reasonable and just in all POSSIBLE scenarios. The performance metric of an agent is used to determine its rationality. The following criteria can be used to assess rationality:

• The success criterion is defined by a performance metric.
• The agent has prior knowledge of its surroundings.
• The most effective activities that an agent can take.
• The order in which precepts appear.