Smarter Games with AI
Build Smarter Game Enemies with AI and Machine LearningBy Curtis Whitlock
Length7h 25m
About this audiobook
AI for games game AI programming procedural generation machine learning for games. Unlock the secrets to building smarter, more immersive game worlds with Smarter Games with AI. This practical, hands-on guide takes you from beginner to pro, covering pathfinding, behavior trees, and the machine learning techniques that make NPCs and environments feel truly alive. Whether you're an indie dev or AAA veteran, you'll learn to craft believable characters and dynamic worlds that adapt to player actions. Compare with competitors like [placeholder] and [placeholder] to see how this book delivers real-world code, clear explanations, and cutting-edge ML integration—no fluff, just results.
Dive deep into core AI systems: A* and Dijkstra pathfinding, finite state machines, and hierarchical behavior trees. Then level up with neural networks, reinforcement learning, and procedural content generation. Each chapter includes practical examples in Python and C#, ready to adapt to Unity, Unreal, or custom engines. You'll also explore emergent behavior, crowd simulation, and environmental storytelling. By the end, you'll have the tools to create games that surprise, challenge, and delight players—without sacrificing performance or control.
What you'll learn inside:
Implement pathfinding for complex terrains and dynamic obstacles
Design behavior trees for NPCs that react intelligently to player choices
Use reinforcement learning to train enemies that evolve over time
Generate infinite worlds with procedural techniques and ML-driven content
Optimize AI for mobile, VR, and real-time multiplayer
Perfect for game developers, students, and hobbyists ready to push beyond basic AI. No prior ML experience required—just a passion for making games that feel alive. Start building smarter games today.
Audiobook details
GenreTechnology
Length7 hrs 25 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
LanguageEnglish
Table of contents
1Preface
2Chapter 1 — Setting the Stage: Introducing The Haunted Vault and Core AI Concepts
3Chapter 2 — Enemy Senses: Giving NPCs Awareness of Their World
4Chapter 3 — Behavior Trees: Structuring Complex NPC Decisions
5Chapter 4 — Finite State Machines: solid State Management for Enemies
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6Chapter 5 — Pathfinding: Navigating the Dungeon with A*
7Chapter 6 — Advanced Pathfinding: Dynamic Obstacles and Crowd Flow
8Chapter 7 — Machine Learning Foundations: Supervised and Unsupervised Learning in Game Context
9Chapter 8 — Reinforcement Learning: Training Enemies to Learn Combat Tactics
10Chapter 9 — Neural Networks: Pattern Recognition for Adaptive Strategy
11Chapter 10 — Dynamic Difficulty Adjustment: Balancing Challenge with ML
12Chapter 11 — Procedural Content Generation: Creating Dungeons, Loot, and Enemies with AI
13Chapter 12 — Player Modeling: Personalizing the Experience
14Chapter 13 — Multiplayer AI: Bots and Cooperative Allies
15Chapter 14 — Testing and Debugging AI: Tools and Techniques
16Chapter 15 — Optimizing AI for Performance
17Chapter 16 — Integrating It All: Polishing The Haunted Vault
18Chapter 17 — Beyond the Book: Advanced Topics and Career Paths
19Chapter 18 — Appendix: Quick Reference and Companion Code
20About the Author
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