AI & Decision Logic

Have you ever wondered how robots know what to do? Or how video game characters decide when to jump or turn? They use something called decision logic - and you're about to learn how it works!

What You'll Learn:

• 🤖 How robots make decisions using IF-THEN rules
• 🌳 How decision trees help AI choose actions
• 🎮 How to program a robot to navigate obstacles
• 🐛 How to debug and fix robot programs

Get ready to become a robot programmer! 🚀

Robots don't think like humans - they follow simple rules! The most important rule is called IF-THEN.

Here's how it works:

Real-life example:

• IF it's raining → THEN bring an umbrella
• IF you're hungry → THEN eat lunch
• IF the light is red → THEN stop

Robots check conditions in order and do the first action that matches. This creates a decision tree - like a flowchart that shows all possible choices!

To program a robot, you need to think about what it should do in different situations. Let's build some rules together!

Example Robot Rules:

1. IF I see a wall ahead → THEN turn left
2. IF I see a wall on my left → THEN turn right
3. IF the path is clear → THEN move forward
4. IF I reach the goal → THEN stop and celebrate! 🎉

The order matters! The robot checks rules from top to bottom and does the first one that matches. Try building your own rules in the simulator!

Test your decision logic skills through 5 progressively challenging scenarios:

1. Basic Navigation: Simple path to target
2. Single Obstacle: Navigate around one obstacle
3. Multiple Obstacles: Complex maze navigation
4. Dynamic Environment: Adapt to moving obstacles
5. Optimization: Minimize moves with limited battery

Each challenge awards stars based on performance. Can you achieve 3 stars on all levels?