Agent-Based Modeling for Game AI
Building Intelligent, Adaptive Agents That Learn and Interact in Dynamic Worlds
You'll discover how to move beyond scripted, predictable game characters to create agents that genuinely respond to their environment and learn from interactions. This book walks you through the complete process of designing agent-based systems for games, starting with the fundamental architecture of individual agents and progressing to complex multi-agent ecosystems. You'll learn how perception systems allow agents to understand their world, how decision-making frameworks enable intelligent choices, and how machine learning techniques let agents improve through experience. Through practical examples and real-world applications, you'll explore how to balance behavioral sophistication with computational efficiency, debug emergent behaviors, and scale your systems from dozens to thousands of agents. Whether you're building NPCs for narrative-driven games, creating competitive AI opponents, or simulating entire virtual societies, this book provides the frameworks, techniques, and insights you need to bring your agent-based worlds to life.
Est. Length
222 pages (10 chapters)
Language
English
Publication date
Dec 19, 2025
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