Advanced Behavior Trees Guide 🌳

Behavior Trees (BTs) are a powerful tool for AI decision-making in games and robotics. Here's a breakdown of advanced concepts:

1. Blackboard Pattern 📜

Use a shared memory space to pass data between nodes.

*Example:* Store enemy positions for use in multiple nodes.

2. Decorator Nodes 🔁

Modify node behavior with conditions or repetition:

• Inverter: Reverses success/failure status
• Repeater: Loops until a condition is met
• Sequence: Executes child nodes in order

3. Composite Nodes 🧱

Create complex logic with:

• Selector: Chooses first successful child
• Parallel: Processes all children simultaneously
• Fallback: Returns first non-failure result

4. Optimization Techniques ⚡

• Prioritize critical paths with PrioritySelector
• Use Memorize to cache node results
• Implement Cooldown for rate-limiting actions

For deeper insights, check our Behavior Trees Tutorial 📚