Rational Agent Approaches In Artificial Intelligence

Rational agent approaches

Artificial intelligence is defined as the study of a relational agent. A rational agent could be anything that makes decisions like a person, firm, machine, or software. It acts with the best outcome percept. (agents perceptual inputs at a given instance)

An AI system is composed of an agent and its environment. The environment may contain other agents. An agent is anything that can be viewed as :

Perceiving its environment through sensors and
Acting upon that environment through actuators.

Note Every agent can perceive its own actions(but not always the effects)

It will run in cycles of perceiving, thinking, and acting. Take humans for eg, we perceive our environment through our five senses (sensors), we think about it, and then act using our body parts (actuators). Similarly, robotic agents perceive the environment through sensors that we provide them it can the camera, microphones, infrared detectors. They do some computing(thinking) and then act using various actuators attached for functions. Now, it should be clear that the world around you is full of agents like your cell phones, vacuum cleaner, smart fridge, thermostat, and cameras.

WHAT IS AN AGENT

Anything that can be seen as-

a. Pereving its environment through sensors.

b. Acting upon it through actuators.

It will run in a cycle of perceiving, thinking, and acting. Take humans, for example, we perceive our environment through our five senses called sensors. We think about it and then act using our body parts called actuators. Similarly, the robotic agent perceives the environment through sensors that we provide them, it can be a camera, microphones, infrared detectors, etc. They do some computing or thinking and then act using various actuators attached for functions. Now, it should be clear that the world around you is full of agents like your cellphone, vacuum cleaner, smart fridge, thermostat, camera, and even yourself.

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