Ai-driven narrative decision-making engine in a game development system

Abstract

Methods, systems, and computer storage media for providing AI-driven narrative decision-making management using an AI-driven narrative decision-making engine in an artificial intelligence (AI) system are described. The AI-driven narrative decision-making engine is designed to facilitate dynamic, context-aware decision-making in game environments. In operation, the AI-driven narrative decision-making engine functions as controlled decision engine, integrating with game development frameworks to enhance character interactions (e.g., non-playable characters—NPCs) by selecting from predefined developer-curated actions. Rather than generating open-ended responses, the AI-driven narrative decision-making engine processes structured text inputs, evaluates game state variables, and determines the most appropriate action based on past interactions, character memory, and game world context. The AI-driven narrative decision-making engine relies on a structured input-output architecture where developers provide narrative descriptions of NPCs, environmental conditions, and possible predefined developer-curated actions in structured natural language. AI-driven narrative decision-making engine processes this data using a constrained selection model, ensuring NPC decisions align with constraints while maintaining narrative coherence.

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