Meaning Machine filed 1 patent this quarter in the AI & Machine Learning category.
The filing covers a system that enables video game non-player characters to improvise dialogue while maintaining consistent world lore across sessions. The technology applies semantic analysis to dynamically update narrative elements in real-time, ensuring coherence as multiple players interact with the game world simultaneously.
The AI & Machine Learning filing addresses a challenge specific to multiplayer games where NPCs generate dialogue on the fly. Rather than relying on retrieval-augmented generation systems that only query static databases, this technology takes improvised character dialogue and writes it back into the central knowledge store using semantic vector matching. This approach allows the game to track which new story elements matter across different sessions without overloading the language model's memory constraints. The system ensures that when one player's NPC mentions a plot development, other players in separate instances encounter characters that acknowledge the same events.
All data sourced from USPTO patent filings. Google Patents may take several weeks to index recent publications. If a link is unavailable, search for the patent number at USPTO Patent Public Search.