Explain PEAS. Write the PEAS description of the task environment for an automated car driving system.

PEAS is an AI agent representation system that focuses on evaluating the performance of the environment, sensors, and actuators. We need to be aware of our job environment to create an agent. The PEAS system aids in defining the task environment. Performance, Environment, Actuators, and Sensors are abbreviated as PEAS. AI algorithms can be written more effectively by identifying PEAS.


Performance measures: These are the parameters used to measure the performance of the agent. How well the agent is carrying out a particular assigned task.
Environment: It is the task environment of the agent. The agent interacts with its environment. It takes perceptual input from the environment and acts on the environment using actuators.
Actuators: These are the means of performing calculated actions on the environment. For a human agent; hands and legs are the actuators.
Sensors: These are the means of taking the input from the environment. For a human agent; ears, eyes, and nose are the sensors.

Examples of PEAS Descriptors
1. PEAS Descriptor of Automated Car Driver
Performance

Safety − The automated system needs to be able to operate the vehicle securely without rushing.

Optimized Speed − Depending on the environment, automated systems should be able to maintain the ideal speed.

Journey − The end-user should have a comfortable journey thanks to automated systems.

Environment

Roads − Automated automobile drivers ought to be able to go on any type of route, from local streets to interstates.

Traffic Conditions − For various types of roadways, there are various traffic conditions to be found.

Actuators

Steering wheel − to point an automobile in the appropriate direction.

Gears and accelerators − adjusting the car's speed up or down.

Sensors

In-car driving tools like cameras, sonar systems, etc. are used to collect environmental data.