What are PEAS Descriptors? Give PEAS Descriptors Examples

The PEAS is use for used for high-level characterization of agents. PEAS Stand for

P = Performance Measure

E = Environment

A = Actuators

S = Sensors

What are PEAS Descriptors?


Performance Measure:

If the objective function to judge the performance of the agent. things we can evaluate an agent against to know how well it performs.

For example, in case of pick and place robot, no of correct parts in a bin can be the performance measure.

Environment:

It the real environment where the agent need to deliberate actions.

what the agent can perceive.

Actuators:

These are the tools, equipment or organs using which agent performs actions in the environment. This works as output of the agent.

what an agent can use to act in its environment.

Sensors:

These are tools, organs using which agent captures the state of the environment. This works as input to the agent.

what an agent can use to perceive its environment

Some PEAS Descriptors Examples/Problems


1. PEAS descriptor for Automated Car Driver:

Performance Measure:

  • Safety: Automated system should be able to drive the car safely without dashing anywhere.
  • Optimum speed: Automated system should be able to maintain the optimal speed depending upon the surroundings.
  • Comfortable journey: Automated system should be able to give a comfortable journey to the end user.

Environment:

  • Roads: Automated car driver should be able to drive on any kind of a road ranging from city roads to highway.
  • Traffic conditions: You will find different sort of traffic conditions for different type of roads.

Actuators:

  • Steering wheel: used to direct car in desired directions.
  • Accelerator, gear: To increase or decrease speed of the car.

Sensors:

  • To take i/p from environment in car driving example cameras, sonar system etc.

2. PEAS descriptor for Playing soccer.

Performance Measure: scoring goals, defending, speed

Environment:  playground, teammates, opponents, ball

Actuators: body, dribbling, tackling, passing ball, shooting 

Sensors: camera, ball sensor, location sensor, other players locator

3. Exploring the subsurface oceans of Titan.

Performance Measure: safety, images quality, video quality

Environment:  ocean, water

Actuators: mobile diver, steering, break, accelerator

Sensors: video, accelerometers, depth sensor, GPS

4. Shopping for used AI books on the Internet.

Performance Measure: price, quality, authors, book review

Environment:  web, vendors, shippers

Actuators: fill in form, follow URL, display to user

Sensors: HTML

5. Playing a tennis match.

Performance Measure: winning

Environment:  playground, acquet, ball, opponent

Actuators: ball, raquet, joint arm

Sensors: ball locator, camera, racquet sensor, opponent locator

6. Practicing tennis against a wall.

Performance Measure: hit speed, hit accuracy

Environment:  playground, racquet, ball, wall

Actuators: ball, raquet, joint arm

Sensors: ball locator, camera, racquet sensor

7. Performing a high jump.

Performance Measure: safety, altitude

Environment:  wall

Actuators: jumping apparatus

Sensors: camera, height sensor

8. Knitting a sweater.

Performance Measure: size, looking, comfort

Environment:  craft, pattern

Actuators: needles, yarn, jointed-arms

Sensors: pattern sensor

9. Bidding on an item at an auction.

Performance Measure: cost, value, necessity, quality

Environment:  auctioneer, items, bidders

Actuators: speaker, display items

Sensors: camera, price monitor

 

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