Agent Performance
An agent function implements a mapping
from perception history to action. The behaviour and performance of intelligent
agents have to be evaluated in terms of the agent function.
The ideal mapping specifies which
actions an agent ought to take at any point in time.
The performance measure is a
subjective measure to characterize how successful an agent is. The success can
be measured in various ways. It can be measured in terms of speed or
efficiency of the agent. It can be measured by the accuracy or the
quality of the solutions
achieved by the agent. It can also be measured by power usage,
money, etc.
Examples of Agents
1. Humans can be looked upon as agents.
They have eyes, ears, skin, taste buds, etc. for
sensors; and hands, fingers, legs, mouth for effectors.
2. Robots are agents. Robots may have
camera, sonar, infrared, bumper, etc. for sensors.
They can have grippers, wheels, lights, speakers, etc. for
actuators.
Some examples of robots are Xavier from CMU, COG from MIT, etc.
Xavier Robot (CMU)
Then we have the AIBO entertainment robot from SONY.
Aibo from SONY
3. We also have software agents or softbots that have some
functions as sensors and some
functions as actuators. Askjeeves.com is an example of a softbot.
4. Expert systems like the Cardiologist is an agent.
5. Autonomous spacecrafts.
6. Intelligent buildings.
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