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AI & Pathfinding Mastery

Master game AI with A* pathfinding, finite state machines, and behavior trees. Build intelligent enemies that challenge and engage players.

7 Sections~8 Hours

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πŸ“š Sections

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Introduction to Game AI

Section 1 of 7

Game AI is what makes enemies challenging and interesting to fight. It's the decision-making system that controls how NPCs and enemies behave in your game. **What is Game AI?** Game AI differs from academic AI - it's not about being smart, it's about being interesting and responsive. A good AI opponent should: β€’ Feel responsive and challenging β€’ React to player actions intelligently β€’ Provide engaging gameplay β€’ Run efficiently (since games need 60 FPS!) **Three Core AI Techniques:** 1. **Pathfinding** - Finding the best route from A to B around obstacles (A* algorithm) 2. **Finite State Machines (FSM)** - Managing behavior states (Patrol, Chase, Attack, Flee) 3. **Behavior Trees (BT)** - Hierarchical decision-making for complex behaviors These three techniques form the foundation of most game AI. You'll combine them to create intelligent, responsive enemies that feel real. **Performance Matters:** AI calculations must be fast. We use heuristics, limited search depth, and frame-rate tricks to keep games running smooth.

πŸ’»Code Example

// Simple AI loop structure
class Enemy {
  constructor(x, y) {
    this.x = x;
    this.y = y;
    this.state = 'patrol';
    this.path = [];
  }

  update(deltaTime, playerPos) {
    // 1. Make decision
    this.decideAction(playerPos);
    
    // 2. Move along path
    if (this.path.length > 0) {
      this.followPath(deltaTime);
    }
    
    // 3. Execute behavior
    this.executeBehavior(deltaTime);
  }
}

🎯 Key Takeaways

  • β€’AI is about being interesting, not just smart
  • β€’Combine A*, FSM, and Behavior Trees for powerful enemy AI
  • β€’Always optimize for performance - AI must run at 60 FPS
  • β€’Debug AI visually - draw paths, state, and vision ranges
  • β€’Balance challenge with fairness for engaging gameplay

πŸš€ Interactive Demo

Try implementing what you learned with this interactive challenge:

  • 1.Build a grid-based game world
  • 2.Implement A* pathfinding for enemy movement
  • 3.Add FSM states (Patrol, Chase, Attack)
  • 4.Create a Behavior Tree for intelligent decisions
  • 5.Test and optimize performance under load
Start the Challenge β†’