Artificial intelligence

Wednesday - 8th Nov 2024
Unit 3 - SB page 85 to 90
CCDI
Mr. Ali Ayed

​

Aritifical intelligence

​Learning Objectives:

-  Demonstrate an understanding of the basic principles of artificial intelligence.

-Identify and differentiate between various types of rational agents.

In our pervious lesson we have learned about binary numbers and how to convert them into digital numbers.

​

Revising:

​In artificial intelligence system, agents are entities that make decisions and take action. For an example Siri and Alexa.
عميل، وكيل، أداه

Agent

based on or in accordance with reason or logic.

"I'm sure there's a perfectly rational explanation"!
عقلاني

Rational

​Keywords:

Match

Match the following:

• Agent

• Rational

• Ai

عميل

عقلاني

ذكاء اصطناعي

• عميل

• عقلاني

• ذكاء اصطناعي

-  Demonstrate an understanding of the basic principles of artificial intelligence.

​First learning objective:

What's Artificial intelligence:

Ai it's simulation of human intelligence by machines. It involves tasks like learning, problem-solving, and language understanding. AI has applications in various fields and is reshaping industries and technology.

Turning test

​Marcus test

Please open LMS in unit 3 and wear your headphone.

You have 10 min.

​

​Ai education video:

Open Ended

Discussion: What did you learn after watching the video?

Multiple Choice

What does AI stand for?

• Advanced Information

• Artificial Intelligence

• Active Invention

Identify and differentiate between various types of rational agents.

​Second learning objective:

Rational Agent:

Imagine a rational agent as a smart helper that always tries to make the best decisions. Just like how you might try to pick the tastiest snack or the most fun game to play, a rational agent uses its brain (like a computer) to figure out the best choices it can make.

Types of rational agent:

​Simple reflex agent

​Model-Based reflex agent

​Learning agent

Simple reflex agent:

Imagine a simple reflex agent like a helpful robot that makes decisions based only on what it sees right now. It doesn't think about the past or future, it just looks at what's happening at the moment and quickly reacts.

Model-based reflex agent:

Imagine a model-based reflex agent as a smart robot that not only reacts quickly to what's happening right now, but also remembers things from the past. It learns from what it has seen before and uses that information to make better decisions

Multiple Choice

What's the difference between simple reflex and model based agent?

• Model Based agent can learn from the past

• Simple reflex can learn from the future

• There is no differences

Multiple Choice

Smart Vacuum is an example of which agent?

• Model-based Agent

• Simple Reflex Agent

Multiple Choice

Which example is a model-based reflex agent?

• AC

• Self Driving car

• TV

Learning agent:

Imagine a learning agent as a super-smart friend that gets better at things over time. Just like how you learn new games or skills by practicing, a learning agent learns from its experiences and gets smarter as it goes. The learning agent is always improving itself, just like how you improve when you keep practicing something you love.

​Activity in https://studio.code.org/s/oceans/lessons/1/levels/1
Learning agent to keep the ocean clean.
Please upload your certificate in LMS course

​10 to 15 min

Learnig outcome:

-  Demonstrate an understanding of the basic principles of artificial intelligence.
-Differentiate between various types of rational agents, such as simple reflex agents, model-based reflex agents, and learning agents, by understanding how each type makes decisions and interacts with its environment."

​​Please write your feedback and what did you learn from today lesson in LMS course.

Poll

Did you understand today lesson:

• Yes

• No, I need help!