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Game AI Engineering for Unity and Unreal Engine: Design Scalable NPC Systems, Decision-Making AI, and Production-Ready Game Behaviors Using Modern C#
Paperback
Publisher: Independently Published
Published: May 21 2026
Pages: 312
Weight: 1.20
Height: 0.65 Width: 7.00 Depth: 10.00
Language: English
Build intelligent, believable, and scalable game AI systems that go far beyond basic enemy scripts. Game AI Engineering for Unity and Unreal Engine gives you the practical skills to design production-ready NPC behaviors, advanced decision-making systems, and modern AI architectures used in professional game development.
Game AI Engineering for Unity and Unreal Engine is a hands-on guide for developers who want to create smarter, more immersive game experiences using modern AI techniques in both Unity (C#) and Unreal Engine (C++). Instead of relying on simplistic scripted behaviors, this book teaches you how to engineer adaptive AI systems capable of realistic navigation, dynamic combat behavior, contextual decision-making, memory systems, procedural content generation, and scalable NPC ecosystems.
You will learn how to implement industry-standard AI architectures including Finite State Machines (FSMs), Behavior Trees, Utility AI, event-driven systems, and modular AI frameworks designed for real-world game production. The book also explores modern advancements such as AI agents, large language model (LLM) integration for NPC dialogue, and AI-driven gameplay systems while maintaining strong performance optimization practices for large-scale projects.
Through practical examples, clean code implementations, debugging workflows, and professional architectural strategies, you will develop the confidence to build intelligent game systems that remain maintainable, performant, and scalable across indie and AAA-style projects. Whether you are building tactical enemies, open-world NPC ecosystems, or advanced gameplay simulations, this book provides the technical foundation needed for modern AI engineering in games.
Key Benefits- Design scalable NPC systems using FSMs, Behavior Trees, Utility AI, and modular architectures
- Build realistic enemy behaviors, contextual AI decision systems, and adaptive gameplay mechanics
- Implement professional AI workflows in both Unity using C# and Unreal Engine using C++
- Learn performance optimization, debugging, profiling, and deployment strategies for large-scale AI systems
- Explore modern AI techniques including AI agents, procedural generation, and LLM-powered NPC dialogue systems
Marmaduke L. Baldwin is a software engineer and game development author focused on practical AI engineering, scalable game systems, and modern gameplay architecture. He specializes in creating developer-focused resources that bridge the gap between academic AI concepts and real-world game production.
If you are ready to move beyond basic game scripting and build professional-grade AI systems for modern games, Game AI Engineering for Unity and Unreal Engine will give you the tools, architectures, and implementation strategies to bring truly intelligent gameplay to life. Start building smarter games today.
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