Isbn: 9798250683555 - 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 (5 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. Game Systems Engineering: Applied Math and Logic for Modern GamesDesign Balanced Economies, Deterministic AI, and Procedural World Systems in Unreal Engine 5 and GodotWhy 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 testingWhether 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Paperback. Condición: new. Paperback. Game Systems Engineering: Applied Math and Logic for Modern GamesDesign Balanced Economies, Deterministic AI, and Procedural World Systems in Unreal Engine 5 and GodotWhy 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 testingWhether 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …