A rational agent takes actions which, given its knowledge of its environment, maximizes its chances of success.

The action a rational agent takes depends on:

• the agents past experiences
• the agents information of his environment
• the actions available to the agent
• the estimated benefits and the chances of success of the actions.

Rational agents are researched in Artificial intelligence.

In Game theory its usually assumed that the actors are rational.

See also

• bounded rationality
• Artificial intelligence agent
• belief revision
• game theory

Further reading

• Artificial Intelligence: A Modern Approach (2nd Edition) by Stuart J. Russell & Peter Norvig , (2002) Prentice Hall, ISBN 0137903952