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Game Systems Engineering: Applied Math and Logic for Modern Games: Design Balanced Economies, Deterministic AI, and Procedural World Systems in Unreal
Paperback
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ISBN13: 9798250683555
Publisher: Independently Published
Published: Mar 4 2026
Pages: 330
Weight: 1.26
Height: 0.69 Width: 7.00 Depth: 10.00
Language: English
Publisher: Independently Published
Published: Mar 4 2026
Pages: 330
Weight: 1.26
Height: 0.69 Width: 7.00 Depth: 10.00
Language: English
Game Systems Engineering: Applied Math and Logic for Modern Games
Design Balanced Economies, Deterministic AI, and Procedural World Systems in Unreal Engine 5 and Godot
Why do some games feel perfectly balanced while others collapse under unpredictable systems? Why do certain AI behaviors feel intelligent while others break immersion? And how do modern games generate massive worlds and evolving mechanics without losing stability?
Design Balanced Economies, Deterministic AI, and Procedural World Systems in Unreal Engine 5 and Godot
Why do some games feel perfectly balanced while others collapse under unpredictable systems? Why do certain AI behaviors feel intelligent while others break immersion? And how do modern games generate massive worlds and evolving mechanics without losing stability?
The answer lies in systems engineering.
Modern games are no longer collections of isolated features. They are complex networks of mechanics, economies, AI logic, probability systems, procedural generators, and simulation models, that must work together reliably. When these systems are poorly structured, small design changes create unexpected consequences. Balancing becomes guesswork, debugging becomes frustrating, and long-term stability becomes difficult to maintain.
Game Systems Engineering introduces a practical framework for designing gameplay systems using applied mathematics, deterministic logic, and data-driven architecture. Instead of relying on intuition alone, you will learn how to build systems that are predictable, testable, and scalable.
Through practical examples using Unreal Engine 5 and Godot, this book shows how professional developers design the underlying logic that powers modern games, from economy simulation to AI decision pipelines and procedural world generation.
Inside this book, you will learn how to:
- Design balanced game economies using simulation and probability models
- Build deterministic AI systems with state graphs, utility scoring, and behavior logic
- Implement procedural world systems that generate scalable environments
- Apply mathematics and statistics to gameplay mechanics and balancing
- Use Monte Carlo simulation and sampling techniques to evaluate system behavior
- Create data-driven gameplay pipelines that support rapid tuning and iteration
- Build analytics and feedback loops for live system balancing
- Integrate gameplay systems with production pipelines and automated testing
Whether you are a gameplay programmer, technical designer, AI engineer, or systems designer, this book provides the engineering mindset needed to design mechanics that remain stable as your game grows in complexity.
If you want to move beyond ad-hoc scripting and start building scalable gameplay systems that behave predictably under real conditions, this book will show you how.
Start building smarter game systems today.
Modern games are no longer collections of isolated features. They are complex networks of mechanics, economies, AI logic, probability systems, procedural generators, and simulation models, that must work together reliably. When these systems are poorly structured, small design changes create unexpected consequences. Balancing becomes guesswork, debugging becomes frustrating, and long-term stability becomes difficult to maintain.
Game Systems Engineering introduces a practical framework for designing gameplay systems using applied mathematics, deterministic logic, and data-driven architecture. Instead of relying on intuition alone, you will learn how to build systems that are predictable, testable, and scalable.
Through practical examples using Unreal Engine 5 and Godot, this book shows how professional developers design the underlying logic that powers modern games, from economy simulation to AI decision pipelines and procedural world generation.
Inside this book, you will learn how to:
- Design balanced game economies using simulation and probability models
- Build deterministic AI systems with state graphs, utility scoring, and behavior logic
- Implement procedural world systems that generate scalable environments
- Apply mathematics and statistics to gameplay mechanics and balancing
- Use Monte Carlo simulation and sampling techniques to evaluate system behavior
- Create data-driven gameplay pipelines that support rapid tuning and iteration
- Build analytics and feedback loops for live system balancing
- Integrate gameplay systems with production pipelines and automated testing
Whether you are a gameplay programmer, technical designer, AI engineer, or systems designer, this book provides the engineering mindset needed to design mechanics that remain stable as your game grows in complexity.
If you want to move beyond ad-hoc scripting and start building scalable gameplay systems that behave predictably under real conditions, this book will show you how.
Start building smarter game systems today.
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