Rational agent
From Wikipedia, the free encyclopedia
A rational agent takes actions which, given his or her knowledge of its environment, maximizes its chances of success.
The action a rational agent takes depends on:
- the agent's past experiences
- the agent's 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 ethics, the study of practical reason, and artificial intelligence.
In game theory it is usually assumed that the actors are rational.
An example of rational agents is BDI software agents.
[edit] See also
[edit] Further reading
- Artificial Intelligence: A Modern Approach (2nd Edition) by Stuart J. Russell & Peter Norvig, (2002) Prentice Hall, ISBN 0-13-790395-2
