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AI · Theory

PEAS in AI

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Theory

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PEAS in AI

PEAS is how you write an agent’s job on the board. P Performance (what “good” means). E Environment (where it lives). A Actuators (what it can do). S Sensors (what it can see). Vacuum: P = dirt collected / energy; E = room tiles; A = move, suck; S = dirt, bump.

Self-drive sketch: P = safety + time; E = roads; A = steer, brake; S = cameras, lidar, GPS. If you skip PEAS, the agent discussion is just slogans.

PEAS in AI — output — four PEAS lines for a vacuum. Fill all four in the viva.

Diagram
P  performance  (clean tiles)
  E  environment  (room)
  A  actuators    (move / suck)
  S  sensors      (dirt / bump)
Exam tip

PEAS for vacuum or taxi. All four letters.

Example

# PEAS — vacuum
print("P: tiles cleaned / energy used")
print("E: two-room grid")
print("A: move, suck")
print("S: dirt sensor, bump sensor")

PEAS in AI — output: four PEAS lines for a vacuum. Fill all four in the viva.

Short notes

  • DefP Performance E Environment A Actuators S Sensors
  • RuleAlways fill all four.

Questions

1

Expand PEAS.

2

PEAS for a vacuum?

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P

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