AI Engineering In The Making of Better Non-Player Characters (NPCS)

Abstract

Non-Player Characters (NPCs) are critical to the interactive and dynamic character of modern video games. They inhabit game worlds, engage with players, and play a large role in storytelling and gameplay mechanics. Yet, conventional rule-based NPCs tend to fall short of realism, flexibility, and scalability needed to keep pace with changing player expectations and sophisticated game worlds. This paper discusses the intersection of Artificial Intelligence (AI) engineering techniques with game development to create intelligent, adaptive NPCs. Through modular AI architectures, reinforcement learning, behaviour cloning, and effective deployment strategies, this research presents a complete framework for developing intelligent NPCs that provide increased interactivity and engagement. It also discusses the application of memory repositories to preserve NPC contextual awareness across extended interactions. Comparative analysis and case studies are employed to illustrate enhancements in gameplay dynamics and player experience.