Practice PEAS Example: Self-Driving Car - 2.2.1 | Intelligent Agents and Environments | AI Course Fundamental
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PEAS Example: Self-Driving Car

2.2.1 - PEAS Example: Self-Driving Car

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does PEAS stand for?

💡 Hint: Think of the components required for intelligent agents.

Question 2 Easy

Name one sensor used in a self-driving car.

💡 Hint: What helps the car see around?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does the acronym PEAS represent in intelligent agent design?

People
Events
Actions
Scenarios
Performance Measure
Environment
Actuators
Sensors
Priorities
Experiences
Actions
Sensors

💡 Hint: Think about what defines how agents function.

Question 2

True or False: Sensors are responsible for the actions performed by an agent.

True
False

💡 Hint: Recall what perceives and what acts.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design an intelligent agent using the PEAS framework for a drone delivering packages. Discuss the performance measures, environment, actuators, and sensors.

💡 Hint: Think about what a drone needs to ensure successful deliveries.

Challenge 2 Hard

Consider the trade-offs involved in optimizing for speed vs. safety in self-driving cars. How would you balance these competing performance measures?

💡 Hint: What situations call for faster responses versus cautious actions?

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