Agents in Artificial Intelligence
An AI system can be defined as the study of the rational agent and its environment.
The agents sense the environment through sensors and act on their environment
through actuators. An AI agent can have mental properties such as knowledge, belief,
intention, etc.
What is an Agent?
An agent can be anything that perceiveits environment through sensors and act
upon that environment through actuators. An Agent runs in the cycle
of perceiving, thinking, and acting. An agent can be:
o Human-Agent: A human agent has eyes, ears, and other organs which work
for sensors and hand, legs, vocal tract work for actuators.
o Robotic Agent: A robotic agent can have cameras, infrared range finder, NLP
for sensors and various motors for actuators.
o Software Agent: Software agent can have keystrokes, file contents as sensory
input and act on those inputs and display output on the screen.
Hence the world around us is full of agents such as thermostat, cellphone, camera,
and even we are also agents.
Before moving forward, we should first know about sensors, effectors, and actuators.
Sensor: Sensor is a device which detects the change in the environment and sends
the information to other electronic devices. An agent observes its environment
through sensors.
Actuators: Actuators are the component of machines that converts energy into
motion. The actuators are only responsible for moving and controlling a system. An
actuator can be an electric motor, gears, rails, etc.
Effectors: Effectors are the devices which affect the environment. Effectors can be
legs, wheels, arms, fingers, wings, fins, and display screen.
, Intelligent Agents:
An intelligent agent is an autonomous entity which act upon an environment using
sensors and actuators for achieving goals. An intelligent agent may learn from the
environment to achieve their goals. A thermostat is an example of an intelligent
agent.
Following are the main four rules for an AI agent:
o Rule 1: An AI agent must have the ability to perceive the environment.
o Rule 2: The observation must be used to make decisions.
o Rule 3: Decision should result in an action.
o Rule 4: The action taken by an AI agent must be a rational action.
Rational Agent:
A rational agent is an agent which has clear preference, models uncertainty, and acts
in a way to maximize its performance measure with all possible actions.
A rational agent is said to perform the right things. AI is about creating rational
agents to use for game theory and decision theory for various real-world scenarios.
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.
An AI system can be defined as the study of the rational agent and its environment.
The agents sense the environment through sensors and act on their environment
through actuators. An AI agent can have mental properties such as knowledge, belief,
intention, etc.
What is an Agent?
An agent can be anything that perceiveits environment through sensors and act
upon that environment through actuators. An Agent runs in the cycle
of perceiving, thinking, and acting. An agent can be:
o Human-Agent: A human agent has eyes, ears, and other organs which work
for sensors and hand, legs, vocal tract work for actuators.
o Robotic Agent: A robotic agent can have cameras, infrared range finder, NLP
for sensors and various motors for actuators.
o Software Agent: Software agent can have keystrokes, file contents as sensory
input and act on those inputs and display output on the screen.
Hence the world around us is full of agents such as thermostat, cellphone, camera,
and even we are also agents.
Before moving forward, we should first know about sensors, effectors, and actuators.
Sensor: Sensor is a device which detects the change in the environment and sends
the information to other electronic devices. An agent observes its environment
through sensors.
Actuators: Actuators are the component of machines that converts energy into
motion. The actuators are only responsible for moving and controlling a system. An
actuator can be an electric motor, gears, rails, etc.
Effectors: Effectors are the devices which affect the environment. Effectors can be
legs, wheels, arms, fingers, wings, fins, and display screen.
, Intelligent Agents:
An intelligent agent is an autonomous entity which act upon an environment using
sensors and actuators for achieving goals. An intelligent agent may learn from the
environment to achieve their goals. A thermostat is an example of an intelligent
agent.
Following are the main four rules for an AI agent:
o Rule 1: An AI agent must have the ability to perceive the environment.
o Rule 2: The observation must be used to make decisions.
o Rule 3: Decision should result in an action.
o Rule 4: The action taken by an AI agent must be a rational action.
Rational Agent:
A rational agent is an agent which has clear preference, models uncertainty, and acts
in a way to maximize its performance measure with all possible actions.
A rational agent is said to perform the right things. AI is about creating rational
agents to use for game theory and decision theory for various real-world scenarios.
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.
